public clsActors(string ApplicationName, string DevKey)
{
_Settings = new clsSettings();
_Collector = new clsStatMonger(DevKey, ApplicationName, _Settings.Accounts, _Settings);
_Analyzer = new clsStatMasher(_Collector.InitialDataSet, _Collector.HistoricalDataPoints);
_ED = new clsED(_Settings);
}
private void button1_Click(object sender, EventArgs e)
{
lb3.Items.Clear();
clsStatMasher masher = new clsStatMasher(sm.InitialDataSet, sm.HistoricalDataPoints);
foreach (clsVideoEntry entry in masher.InitialDataSet)
{
lb3.Items.Add(entry.VideoID + " - " + masher.AverageNewRatingByID(entry.VideoID).ToString() + " - " + masher.AverageNewRatingByID(entry.VideoID, 1).ToString());
}
}
private void button5_Click(object sender, EventArgs e)
{
List<clsVideoEntry> init = new List<clsVideoEntry>();
string log = textBox3.Text;
Regex r = new Regex("V=(.*),Views=(.*),Comments=(.*),Favorites=(.*),Ratings=(.*),ARating=(.*)");
MatchCollection matches = r.Matches(textBox3.Text);
foreach (Match m in matches)
{
Google.GData.YouTube.YouTubeEntry entry = new Google.GData.YouTube.YouTubeEntry();
entry.VideoId = m.Groups[1].Value;
Google.GData.Extensions.FeedLink feedlink = new Google.GData.Extensions.FeedLink();
feedlink.CountHint = int.Parse(m.Groups[3].Value);
entry.Comments = new Google.GData.Extensions.Comments();
entry.Comments.FeedLink = feedlink;
entry.Statistics = new Google.GData.YouTube.Statistics();
entry.Statistics.ViewCount = m.Groups[2].Value;
entry.Statistics.FavoriteCount = m.Groups[4].Value;
entry.Rating = new Google.GData.Extensions.Rating();
entry.Rating.NumRaters = int.Parse(m.Groups[5].Value);
entry.Rating.Average = double.Parse(m.Groups[6].Value);
init.Add(new clsVideoEntry(entry));
}
Dictionary<string, List<clsDataPoint>> hist = new Dictionary<string, List<clsDataPoint>>();
r = new Regex("DT=.*V=(.*),field=(.*),init_v=(.*),new_v=(.*)");
matches = r.Matches(textBox3.Text);
foreach (Match m in matches)
{
string v = m.Groups[1].Value;
string f = m.Groups[2].Value;
double Iv = double.Parse(m.Groups[3].Value);
double Nv = double.Parse(m.Groups[4].Value);
if (!hist.ContainsKey(v))
hist.Add(v, new List<clsDataPoint>());
clsDataPointField field = new clsDataPointField();
switch (f)
{
case "E_VIEWS":
field.Field = clsDataPointField.VideoDataFields.VIEWS;
break;
case "E_RATINGS":
field.Field = clsDataPointField.VideoDataFields.RATERS;
break;
case "E_AVERAGE_RATING":
field.Field = clsDataPointField.VideoDataFields.AVERAGE_RATING;
break;
case "E_COMMENTS":
field.Field = clsDataPointField.VideoDataFields.COMMENT_COUNT;
break;
case "E_FAVORITES":
field.Field = clsDataPointField.VideoDataFields.FAVORITED_COUNT;
break;
}
hist[v].Add(new clsDataPoint(Iv, Nv, field, v));
}
lb.Items.Clear();
lb3.Items.Clear();
mash = new clsStatMasher(init, hist);
foreach (clsVideoEntry en in init)
{
lb.Items.Add(en.VideoID);
lb3.Items.Add(mash.AverageNewRatingByID(en.VideoID, 10));
}
}
private void redraw_chart()
{
ARdata = new PointPairList();
ANRdata = new PointPairList();
Rdata = new PointPairList();
Cdata = new PointPairList();
Vdata = new PointPairList();
Fdata = new PointPairList();
int index = cbVideo.SelectedIndex;
if (index == -1)
return;
string key = _monger.InitialDataSet[index].VideoID;
if (!_monger.HistoricalDataPoints.ContainsKey(key))
return;
List<clsDataPoint> dps = _monger.HistoricalDataPoints[key];
clsStatMasher my_sm = new clsStatMasher(_monger.InitialDataSet, _monger.HistoricalDataPoints);
double[] N = { -1, -1 };
double[] A = { -1, -1 };
int dp_total = dps.Count;
double ANR = my_sm.AverageNewRatingByID(key);
double ANR10 = my_sm.AverageNewRatingByID(key, 10).Value;
int raters_total = 0;
double raters_min = 0;
int viewer_total = 0;
double viewers_min = 0;
int favs_total = 0;
double favs_min = 0;
for (int i = 0; i < dps.Count; i++)
{
switch (dps[i].Field.Field)
{
case clsDataPointField.VideoDataFields.RATERS:
raters_total += (int)dps[i].Delta;
break;
case clsDataPointField.VideoDataFields.VIEWS:
viewer_total += (int)dps[i].Delta;
break;
case clsDataPointField.VideoDataFields.FAVORITED_COUNT:
favs_total += (int)dps[i].Delta;
break;
}
if (dps[i].Field.Field == clsDataPointField.VideoDataFields.AVERAGE_RATING)
ARdata.Add(new PointPair(dps[i].Time.Ticks, dps[i].New, dps[i].Time.ToString()));
if (dps[i].Field.Field == clsDataPointField.VideoDataFields.AVERAGE_RATING)
{
if (A[0] == -1)
{
A[0] = dps[i].Old;
A[1] = dps[i].New;
}
else
{
A[1] = dps[i].New;
}
}
if (dps[i].Field.Field == clsDataPointField.VideoDataFields.RATERS)
{
if (N[0] == -1)
{
N[0] = dps[i].Old;
N[1] = dps[i].New;
}
else
{
N[1] = dps[i].New;
}
}
if (A[1] != -1 && A[0] != -1 && N[1] != -1 && N[0] != -1)
{
double anr = ((A[1] * N[1]) - (A[0] * N[0])) / (N[1] - N[0]);
A[0] = A[1]; A[1] = -1;
N[0] = N[1]; N[1] = -1;
ANRdata.Add(new PointPair(dps[i].Time.Ticks, anr, dps[i].Time.ToString()));
}
if (dps[i].Field.Field == clsDataPointField.VideoDataFields.RATERS)
Rdata.Add(new PointPair(dps[i].Time.Ticks, dps[i].New, dps[i].Time.ToString()));
if (dps[i].Field.Field == clsDataPointField.VideoDataFields.COMMENT_COUNT)
Cdata.Add(new PointPair(dps[i].Time.Ticks, dps[i].New, dps[i].Time.ToString()));
if (dps[i].Field.Field == clsDataPointField.VideoDataFields.VIEWS)
Vdata.Add(new PointPair(dps[i].Time.Ticks, dps[i].New, dps[i].Time.ToString()));
if (dps[i].Field.Field == clsDataPointField.VideoDataFields.FAVORITED_COUNT)
Fdata.Add(new PointPair(dps[i].Time.Ticks, dps[i].New, dps[i].Time.ToString()));
}
try
{
TimeSpan span = dps[dps.Count - 1].Time - dps[0].Time;
int mins = span.Minutes;
raters_min = Math.Round(raters_total / (double)mins, 4);
viewers_min = Math.Round(viewer_total / (double)mins, 4);
favs_min = Math.Round(favs_total / (double)mins, 4);
}
catch { }
lblANR.Text = ANR.ToString();
lblANR10.Text = ANR10.ToString();
lblDataPointCount.Text = dp_total.ToString();
lblFavsCount.Text = favs_total.ToString();
lblFavsMin.Text = favs_min.ToString();
lblRatersPerMin.Text = raters_min.ToString();
lblRatersTotal.Text = raters_total.ToString();
lblViewerCount.Text = viewer_total.ToString();
lblViewersPerMin.Text = viewers_min.ToString();
CreateChart(graphIndividual);
}