private void PaperHandler_Reporting(object sender, ObjectArgs e)
{
//通告 一个用户下的执行情况
//if (string.IsNullOrEmpty(m_CurUserName))
// return;
OnRaiseMsgReporting(e);
}
private void M_Calc_Reporting(object sender, ObjectArgs e)
{
if (m_CurUserName.Equals(UserPaper.UserName))
{
OnRaiseReporting(e.ObjData);
}
}
void view_ClickObject(object sender, ObjectArgs e)
{
if (e.Button == MouseButton.Right)
{
ShowMenu(e.Position);
return;
}
if (e.Object is Character)
{
if (fightMode)
{
AttackCharacter(e.Object as Character);
}
else
{
ClickCharacter(e.Object as Character);
}
}
else if (!fightMode && e.Object is DroppedItem)
{
if (20 > (charOverlay.SelectedCharacter.Position - e.Object.MapPosition).Length)
{
OnMenuInventory();
}
else
{
MoveCharacter(e.Object);
}
}
}
/// <summary>
/// Invokes an Open Object event.
/// </summary>
/// <param name="sender">The object that originates the event.</param>
/// <param name="objectArgs">The argument used to open the object.</param>
public void OnObjectOpen(object sender, ObjectArgs objectArgs)
{
// If there are any listerners, then multicast the request to open a viewer.
if (this.ObjectOpen != null)
{
this.ObjectOpen(this, objectArgs);
}
}
private void OnRaiseFinished(ObjectArgs e)
{
FinishedEventHandler handler = AllFinished;
if (handler != null)
{
handler(this, e);
}
}
/// <summary>
/// 执行的消息告知
/// </summary>
/// <param name="args"></param>
private void OnRaiseMsgReporting(ObjectArgs args)
{
MsgReportEventHandler handler = MsgReporting;
if (handler != null)
{
handler.Invoke(this, args);
}
}
private void OnRaiseReporting(ObjectArgs e)
{
ReportMsgEventHandler handler = Reporting;
if (handler != null)
{
handler(this, e);
}
}
private void ReportMsg()
{
string msg = string.Format("成功处理个数：{0}|出现错误：{1}", HandledNum, ErrorNum);
ObjectArgs arg = new ObjectArgs()
{
ObjData = msg
};
OnRaiseMsgReporting(arg);
}
private void OnRaiseReporting(object msg)
{
ObjectArgs e = new ObjectArgs()
{
ObjData = msg
};
ReportEventHandler handler = Reporting;
if (handler != null)
{
handler(this, e);
}
}
/// <summary>
/// Starts a drag-and-drop operation on the FolderList.
/// </summary>
/// <param name="sender">The control that is the source of the event.</param>
/// <param name="e">Arguments associated with the event.</param>
private void treeView_ItemDrag(object sender, System.Windows.Forms.ItemDragEventArgs e)
{
// The 'dragNode' is a static value used for drag-and-drop operations within this control. We set it here as
// a static value rather than pass it around because an 'ObjectNode' address is no use outside this control.
// The 'ObjectArgs' is a more generic version of the selected item that has value to other controls.
ObjectArgs objectArgs = CreateObjectArgs(dragNode = (ObjectNode)e.Item);
// Extract the parameters that are useful in describing and opening up an object. This is the value that will
// be passed around to other controls that can consume a drag-and-drop operation from the Folder List.
DataObject dataObject = new DataObject("ObjectArgs", objectArgs);
// Begin the drag-and-drop operation with the element selected.
this.DoDragDrop(dataObject, DragDropEffects.Copy | DragDropEffects.Move);
}
/// <summary>
/// Constructs a HttpRequestMessage using bucket/object names from Args.
/// Calls overloaded CreateRequest method.
/// </summary>
/// <param name="args">The direct descendant of ObjectArgs class, args with populated values from Input</param>
/// <returns>A HttpRequestMessage</returns>
internal async Task <HttpRequestMessageBuilder> CreateRequest <T>(ObjectArgs <T> args) where T : ObjectArgs <T>
{
ArgsCheck(args);
var contentType = "application/octet-stream";
args.Headers?.TryGetValue("Content-Type", out contentType);
var requestMessageBuilder =
await CreateRequest(args.RequestMethod,
args.BucketName,
args.ObjectName,
args.Headers,
contentType,
args.RequestBody).ConfigureAwait(false);
return(args.BuildRequest(requestMessageBuilder));
}
//one task
private void Run(object objData)
{
try
{
//2.线程 跑
string url = "http://223.223.176.56:8090/foreground/Book/detail.action?tsid=";
url += objData;
string html = "";//HTMLHelper.GetHtml(url, LoginCookie, Header);
if (string.IsNullOrEmpty(html))
{
//未成功获取 重新加入队列中
//等待下次从堆栈取出处理
m_TaskQue.Push(objData);
//System.Threading.Thread.Sleep(5 * 1000);//休息5s
return;
}
//todo
//to save data
lock (m_HandledNumLock)
{
HandledNum++;
//to report
ReportMsg();
}
}
catch (Exception ex)
{
lock (m_ErrorNumLock)
{
ErrorNum++;
ReportMsg();
}
StringBuilder msg = new StringBuilder();
msg.AppendLine("当前时间:" + DateTime.Now);
msg.AppendLine(ex.Message + ex.StackTrace);
SLogger.Instance.Writer(SLogLevel.Error, msg.ToString());
}
finally
{
RunOneTask();
lock (m_FinishLock)
{
string info = string.Format("hanlerNum:{0}|erorrNum:{1}|totalNum:{2}", HandledNum, ErrorNum, TaskTotalCount);
if (IsCompleted && !m_OneFinished)
{
m_OneFinished = true;
ObjectArgs arg = new ObjectArgs()
{
ObjData = info
};
OnRaiseFinished(arg);
m_State = JobState.End;
}
}
}
}
public double CalcTFIDFSimilarity(string paperText1, string paperText2)
{
ObjectArgs arg = new ObjectArgs();
//去掉分隔符，。...
string txt1 = paperText1;
txt1 = Regex.Replace(txt1, @"[^a-zA-Z0-9\u4e00-\u9fa5\s]", "");
string txt2 = paperText2;
txt2 = Regex.Replace(txt2, @"[^a-zA-Z0-9\u4e00-\u9fa5\s]", "");
var segmenter = new JiebaSegmenter();
JiebaNet.Analyser.TfidfExtractor tfd = new TfidfExtractor(segmenter);
arg.ObjData = "开始分词";
OnRaiseReporting(arg);
Console.WriteLine("开始分词");
Stopwatch sw = new Stopwatch();
sw.Start();
IEnumerable <string> segment1 = segmenter.Cut(txt1);
IEnumerable <string> segment2 = segmenter.Cut(txt2);
int num1 = segment1.Count();
int num2 = segment2.Count();
Console.WriteLine("文档1分词数:" + num1);
Console.WriteLine("文档2分词数:" + num2);
arg.ObjData = "文档1分词数:" + num1 + "\r\n文档2分词数: " + num2;
OnRaiseReporting(arg);
IEnumerable <string> seg1 = null; //多的
IEnumerable <string> seg2 = null; //少的
if (num1 > num2)
{
seg1 = segment1;
seg2 = segment2;
}
else
{
seg2 = segment1;
seg1 = segment2;
}
int maxLength = seg1.Count();
int minLength = seg2.Count();
double similar = 0;
//Dictionary<string, double> seg2Dic = CalcTF(seg2);
string str2 = GetText(seg2);
for (int i = 0; i + minLength <= maxLength; i++)
{
//0-interval
//1-interval+1
//2-interval+2 ...
IEnumerable <string> seg = seg1.Where((item, index) => index > i && index < i + minLength);//取i 到 i+minLength
//从seg1 中截取与seg2相同数量的词集合seg
//分别计算词频 seg2的词频只需要计算一次
//计算cos ===相似度
//Dictionary<string, double> dic = CalcTF(seg);
//double s = CalcSimilar(dic, seg2Dic);
string str = GetText(seg);
int topNum = 500;
IEnumerable <WordWeightPair> tf_a = tfd.ExtractTagsWithWeight(str2, topNum);
IEnumerable <WordWeightPair> tf_b = tfd.ExtractTagsWithWeight(str, topNum);
double molecular = 0; // 分子
double denominator_a = 0; // 分母
double denominator_b = 0;
Dictionary <string, WordWeightPair> dic_a = new Dictionary <string, WordWeightPair>();
Dictionary <string, WordWeightPair> dic_b = new Dictionary <string, WordWeightPair>();
foreach (var a in tf_a)
{
dic_a.Add(a.Word, a);
}
foreach (var b in tf_b)
{
dic_b.Add(b.Word, b);
}
//Console.WriteLine("两篇文档相似的词有：");
foreach (var k in dic_a.Keys)
{
WordWeightPair a = dic_a[k];
WordWeightPair b;
dic_b.TryGetValue(k, out b);
denominator_a += a.Weight * a.Weight;
molecular += a.Weight * (null == b ? 0 : b.Weight);
//if (a != null && b != null)
//{
// Console.WriteLine(a.Word + " TF-IDF词频统计 文档一：" + a.Weight + "|文档二："
// + b.Weight);
//}
}
foreach (var k in dic_b.Keys)
{
WordWeightPair b = dic_b[k];
denominator_b += b.Weight * b.Weight;
}
double s = 0;
if (denominator_a != 0 && denominator_b != 0)
{
s = (molecular / (Math.Sqrt(denominator_a) * Math.Sqrt(denominator_b)));
}
//Console.WriteLine("两篇文档相似度：" + s * 100 + "%");
if ((i + 1) % 50 == 0)
{
Console.WriteLine(string.Format("第{0}次计算出的相似度：{1}", i + 1, s));
arg.ObjData = string.Format("第{0}次计算出的相似度：{1}", i + 1, s);
OnRaiseReporting(arg);
}
if (s > similar)
{
similar = s;
}
if (s >= 0.99)
{
//极高相似度
Console.WriteLine(string.Format("第{0}次计算出的相似度：{1}", i + 1, s));
arg.ObjData = string.Format("第{0}次计算出的相似度：{1}", i + 1, s);
OnRaiseReporting(arg);
}
//Console.WriteLine("第"+i+"次花费时间：" + sw.ElapsedMilliseconds / 1000 + "秒");
}
sw.Stop();
Console.WriteLine("两篇文章的相似度：" + similar);
Console.WriteLine("花费时间：" + sw.ElapsedMilliseconds + "ms");
arg.ObjData = string.Format("两篇文章的相似度：" + similar + "\r\n花费时间：" + sw.ElapsedMilliseconds + "ms");
OnRaiseReporting(arg);
return(similar);
}
/// <summary>
/// 计算文章1和文章2的相似度
/// </summary>
/// <param name="paperText1">文章1的文本</param>
/// <param name="paperText2">文章2的文本</param>
/// <returns></returns>
public double CalcSimilarity(string paperText1, string paperText2)
{
ObjectArgs arg = new ObjectArgs();
//去掉分隔符，。...
string txt1 = paperText1;
txt1 = Regex.Replace(txt1, @"[^a-zA-Z0-9\u4e00-\u9fa5\s]", "");
string txt2 = paperText2;
txt2 = Regex.Replace(txt2, @"[^a-zA-Z0-9\u4e00-\u9fa5\s]", "");
var segmenter = new JiebaSegmenter();
arg.ObjData = "开始分词";
OnRaiseReporting(arg);
Console.WriteLine("开始分词");
Stopwatch sw = new Stopwatch();
sw.Start();
IEnumerable <string> segment1 = segmenter.Cut(txt1);
IEnumerable <string> segment2 = segmenter.Cut(txt2);
int num1 = segment1.Count();
int num2 = segment2.Count();
Console.WriteLine("文档1分词数:" + num1);
Console.WriteLine("文档2分词数:" + num2);
arg.ObjData = "文档1分词数:" + num1 + "\r\n文档2分词数: " + num2;
OnRaiseReporting(arg);
IEnumerable <string> seg1 = null; //多的
IEnumerable <string> seg2 = null; //少的
if (num1 > num2)
{
seg1 = segment1;
seg2 = segment2;
}
else
{
seg2 = segment1;
seg1 = segment2;
}
int maxLength = seg1.Count();
int minLength = seg2.Count();
double similar = 0;
Dictionary <string, double> seg2Dic = CalcTF(seg2);
for (int i = 0; i + minLength <= maxLength; i++)
{
//0-interval
//1-interval+1
//2-interval+2 ...
IEnumerable <string> seg = seg1.Where((item, index) => index > i && index < i + minLength);//取i 到 i+minLength
//从seg1 中截取与seg2相同数量的词集合seg
//分别计算词频 seg2的词频只需要计算一次
//计算cos ===相似度
Dictionary <string, double> dic = CalcTF(seg);
double s = CalcSimilar(dic, seg2Dic);
if ((i + 1) % 50 == 0)
{
Console.WriteLine(string.Format("第{0}次计算出的相似度：{1}", i + 1, s));
arg.ObjData = string.Format("第{0}次计算出的相似度：{1}", i + 1, s);
OnRaiseReporting(arg);
}
if (s > similar)
{
similar = s;
}
if (s >= 0.99)
{
//极高相似度
Console.WriteLine(string.Format("第{0}次计算出的相似度：{1}", i + 1, s));
arg.ObjData = string.Format("第{0}次计算出的相似度：{1}", i + 1, s);
OnRaiseReporting(arg);
}
//Console.WriteLine("第"+i+"次花费时间：" + sw.ElapsedMilliseconds / 1000 + "秒");
}
sw.Stop();
Console.WriteLine("两篇文章的相似度：" + similar);
Console.WriteLine("花费时间：" + sw.ElapsedMilliseconds + "ms");
arg.ObjData = string.Format("两篇文章的相似度：" + similar + "\r\n花费时间：" + sw.ElapsedMilliseconds + "ms");
OnRaiseReporting(arg);
return(similar);
}
public object GetIdleObject(IRoutingEventArgs args)
{
ObjectArgs tmpArgs = args as ObjectArgs;
return(objectPool.GetIdleObject());
}
public object GetObject(IRoutingEventArgs args)
{
ObjectArgs tmpArgs = args as ObjectArgs;
return(objectContainer.GetObject(tmpArgs.ScriptType, tmpArgs.ScriptToken, tmpArgs.ObjectToken));
}
