private void TestServer(object obj)
{
SCLServer self = (SCLServer)obj;
IedModel model = new IedModel("bubak");
LogicalDevice ldevice1 = new LogicalDevice("strasidlo", model);
LogicalNode lln0 = new LogicalNode("LLN0", ldevice1);
DataObject lln0_mod = CDCFactory.CDC_ENG("Mod", lln0, CDCOptions.NONE);
DataObject lln0_health = CDCFactory.CDC_ENG("Health", lln0, CDCOptions.NONE);
SettingGroupControlBlock sgcb = new SettingGroupControlBlock(lln0, 1, 1);
/* Add a temperature sensor LN */
LogicalNode ttmp1 = new LogicalNode("TTMP1", ldevice1);
DataObject ttmp1_tmpsv = CDCFactory.CDC_SAV("TmpSv", ttmp1, 0, false);
DataAttribute temperatureValue = ttmp1_tmpsv.GetChild_DataAttribute("instMag.f");
DataAttribute temperatureTimestamp = ttmp1_tmpsv.GetChild_DataAttribute("t");
IEC61850.Server.DataSet dataSet = new IEC61850.Server.DataSet("events", lln0);
DataSetEntry dse = new DataSetEntry(dataSet, "TTMP1$MX$TmpSv$instMag$f", -1, null);
IEC61850.Common.ReportOptions rptOptions = IEC61850.Common.ReportOptions.SEQ_NUM | IEC61850.Common.ReportOptions.TIME_STAMP | IEC61850.Common.ReportOptions.REASON_FOR_INCLUSION;
IEC61850.Server.ReportControlBlock rcb1 = new IEC61850.Server.ReportControlBlock("events01", lln0, "events01", false, null, 1, IEC61850.Common.TriggerOptions.DATA_CHANGED, rptOptions, 50, 0);
IEC61850.Server.ReportControlBlock rcb2 = new IEC61850.Server.ReportControlBlock("events02", lln0, "events02", true, null, 1, IEC61850.Common.TriggerOptions.DATA_CHANGED | IEC61850.Common.TriggerOptions.GI, rptOptions, 50, 0);
IedServer server = new IedServer(model);
server.Start(tcpPort);
logger.LogInfo(String.Format("SCL Server Started at port 102!!!"));
float val = 0.0f;
while (_run)
{
server.LockDataModel();
temperatureValue.MmsValue.SetFloat(val);
temperatureTimestamp.MmsValue.SetUtcTimeMs(Util.GetTimeInMs());
server.UnlockDataModel();
val += 0.1f;
int waitres = WaitHandle.WaitAny(_waitHandles, 500);
switch (waitres)
{
case 0: // endthread
self._run = false;
break;
case WaitHandle.WaitTimeout:
break;
}
}
logger.LogInfo(String.Format("SCL Server Finished!!!"));
}
void createVL(NodeVL vl, LogicalNode ln)
{
IEC61850.Server.DataSet dataSet = new IEC61850.Server.DataSet(vl.Name, ln);
vl.SCLServerModelObject = dataSet;
foreach (NodeVLM vlm in vl.GetChildNodes())
{
DataSetEntry dse = new DataSetEntry(dataSet, vlm.SCL_ServerLink, -1, null);
vlm.SCLServerModelObject = dse;
}
}
/// <summary>
/// 新規にデータセットエントリを追加する
/// </summary>
public void AddEntry(DataSet dataSet, long dataTypeId, long dataId, bool isCreate)
{
DataSetEntry entry = new DataSetEntry()
{
DataTypeId = dataTypeId,
DataId = dataId
};
if (isCreate)
{
entry.DataSet = dataSet;
}
else
{
entry.DataSetId = dataSet.Id;
}
AddModel <DataSetEntry>(entry);
}
public static AzureSearchDoc ToAzureSearchDoc(this DataSetEntry dsEntry)
{
var doc = new AzureSearchDoc()
{
Id = dsEntry.Id,
Title = dsEntry.Title,
ThumbnailUrl = dsEntry.ThumbnailUrl,
Description = null,
Category = dsEntry.Category,
EntryType = dsEntry.EntryType.ToString(),
FruitionTime = dsEntry.FruitionTime,
Language = dsEntry.Language,
SourceUrl = dsEntry.SourceUrl,
};
foreach (var tag in dsEntry.Tags)
{
doc.Tags.Add(tag.Name);
}
return(doc);
}
public static DataSetEntry MapToDataSetEntry(this FeedItem feedItem, DataSetEntryType entryType, IList <TextAnalysisResult> textAnalysisResult = null, IList <ImageAnalysisResult> imageAnalysisResult = null, IList <VideoAnalysisResult> videoAnalysisResult = null)
{
var dsEntry = new DataSetEntry();
dsEntry.EntryType = entryType;
dsEntry.SourceUrl = feedItem.Link;
dsEntry.FruitionTime = 0;
dsEntry.Title = feedItem.Title;
//dsEntry.ThumbnailUrl = feedItem.ThumbnailUrl;
double maxLanguageScore = 0.0;
double maxSentimentScore = 0.0;
if (textAnalysisResult != null)
{
foreach (var textAnalysis in textAnalysisResult)
{
if (textAnalysis == null)
{
continue;
}
// Set the entry language to the most confident detected language score
if (textAnalysis.DetectedLanguageScore > maxLanguageScore)
{
maxLanguageScore = textAnalysis.DetectedLanguageScore;
dsEntry.Language = textAnalysis.DetectedLanguage;
}
// Set the entry sentiment to the most confident detected sentiment score
if (textAnalysis.SentimentScore > maxSentimentScore)
{
maxSentimentScore = textAnalysis.SentimentScore;
dsEntry.SentimentScore = textAnalysis.SentimentScore;
}
// Retrieve and combine all detected tags
foreach (var keyPhrase in textAnalysis.KeyPhrases)
{
dsEntry.Tags.Add(new DataSetTag {
Name = keyPhrase, Score = 0.0
});
}
// Set the total fruition time to the sum of all text reading times
dsEntry.FruitionTime += textAnalysis.ReadingTimeInMinutes;
}
}
if (imageAnalysisResult != null)
{
dsEntry.ImagesCount = imageAnalysisResult.Count;
double maxRacyScore = 0.0;
double maxAdultScore = 0.0;
foreach (var imageAnalysis in imageAnalysisResult)
{
if (imageAnalysis == null)
{
continue;
}
// Retrieve and combine all detected categories
foreach (var category in imageAnalysis.Categories)
{
dsEntry.Tags.Add(new DataSetTag {
Name = category.Text, Score = category.Score
});
}
// Set the entry racy score to the most confident detected racy score
if (imageAnalysis.AdultContent.RacyScore > maxRacyScore)
{
maxRacyScore = imageAnalysis.AdultContent.RacyScore;
dsEntry.RacyContentScore = imageAnalysis.AdultContent.RacyScore;
}
// Set the entry adult score to the most confident detected adult score
if (imageAnalysis.AdultContent.AdultScore > maxAdultScore)
{
maxAdultScore = imageAnalysis.AdultContent.AdultScore;
dsEntry.AdultContentScore = imageAnalysis.AdultContent.AdultScore;
}
// Sum the number of people found in all images
dsEntry.PeopleTotalCount += imageAnalysis.Faces.Count;
dsEntry.PeopleFemaleCount += imageAnalysis.Faces.Where(f => f.Gender == Gender.Female).Count();
dsEntry.PeopleMaleCount += imageAnalysis.Faces.Where(f => f.Gender == Gender.Male).Count();
// Set the total fruition time to the sum of all image watching times
dsEntry.FruitionTime += imageAnalysis.WatchingTimeInMinutes;
// Ignore colors. How to use them?
//dsEntry.IsBlackAndWhiteImage = imageAnalysis.Colors.IsBWImg;
//dsEntry.DominantBackgroundColor = imageAnalysis.Colors.DominantColorBackground;
//dsEntry.DominantForegroundColor = imageAnalysis.Colors.DominantColorForeground;
//dsEntry.AccentColor = imageAnalysis.Colors.AccentColor;
}
}
if (videoAnalysisResult != null)
{
dsEntry.VideosCount = videoAnalysisResult.Count;
foreach (var videoAnalysis in videoAnalysisResult)
{
if (videoAnalysis == null)
{
continue;
}
// Set the total fruition time to the sum of all video length times
dsEntry.FruitionTime += videoAnalysis.LengthInMinutes;
// Sum the number of people found in all videos
//dsEntry.PeopleTotalCount += videoAnalysis.Faces.Count;
//dsEntry.PeopleFemaleCount += videoAnalysis.Faces.Where(f => f.Gender == Gender.Female).Count();
//dsEntry.PeopleMaleCount += videoAnalysis.Faces.Where(f => f.Gender == Gender.Male).Count();
}
}
return(dsEntry);
}
public static DataSetEntry MapToDataSetEntry(this Tweet tweet, DataSetEntryType entryType, IList <TextAnalysisResult> textAnalysisResult = null, IList <ImageAnalysisResult> imageAnalysisResult = null, IList <VideoAnalysisResult> videoAnalysisResult = null)
{
var dsEntry = new DataSetEntry
{
EntryType = entryType,
SourceUrl = tweet.Url,
Title = tweet.Content,
ThumbnailUrl = tweet.MediaEntities[TweetEntityMediaType.Image].FirstOrDefault()
};
double maxLanguageScore = 0.0;
double maxSentimentScore = 0.0;
double maxRacyScore = 0.0;
double maxAdultScore = 0.0;
if (textAnalysisResult != null)
{
foreach (var textAnalysis in textAnalysisResult)
{
if (textAnalysis == null)
{
continue;
}
// Set the entry language to the most confident detected language score
if (textAnalysis.DetectedLanguageScore > maxLanguageScore)
{
maxLanguageScore = textAnalysis.DetectedLanguageScore;
dsEntry.Language = textAnalysis.DetectedLanguage;
}
// Set the entry sentiment to the most confident detected sentiment score
if (textAnalysis.SentimentScore > maxSentimentScore)
{
maxSentimentScore = textAnalysis.SentimentScore;
dsEntry.SentimentScore = textAnalysis.SentimentScore;
}
// Retrieve and combine all detected tags
foreach (var keyPhrase in textAnalysis.KeyPhrases)
{
dsEntry.Tags.Add(new DataSetTag {
Name = keyPhrase, Score = 0.0
});
}
// Set the total fruition time to the sum of all text reading times
dsEntry.FruitionTime += textAnalysis.ReadingTimeInMinutes;
}
}
if (imageAnalysisResult != null)
{
dsEntry.ImagesCount = imageAnalysisResult.Count;
foreach (var imageAnalysis in imageAnalysisResult)
{
if (imageAnalysis == null)
{
continue;
}
// Retrieve and combine all detected categories
foreach (var category in imageAnalysis.Categories)
{
dsEntry.Tags.Add(new DataSetTag {
Name = category.Text, Score = category.Score
});
}
// Set the entry racy score to the most confident detected racy score
if (imageAnalysis.AdultContent.RacyScore > maxRacyScore)
{
maxRacyScore = imageAnalysis.AdultContent.RacyScore;
dsEntry.RacyContentScore = imageAnalysis.AdultContent.RacyScore;
}
// Set the entry adult score to the most confident detected adult score
if (imageAnalysis.AdultContent.AdultScore > maxAdultScore)
{
maxAdultScore = imageAnalysis.AdultContent.AdultScore;
dsEntry.AdultContentScore = imageAnalysis.AdultContent.AdultScore;
}
// Sum the number of people found in all images
dsEntry.PeopleTotalCount += imageAnalysis.Faces.Count;
dsEntry.PeopleFemaleCount += imageAnalysis.Faces.Where(f => f.Gender == Gender.Female).Count();
dsEntry.PeopleMaleCount += imageAnalysis.Faces.Where(f => f.Gender == Gender.Male).Count();
// Set the total fruition time to the sum of all image watching times
dsEntry.FruitionTime += imageAnalysis.WatchingTimeInMinutes;
// Ignore colors. How to use them?
//dsEntry.IsBlackAndWhiteImage = imageAnalysis.Colors.IsBWImg;
//dsEntry.DominantBackgroundColor = imageAnalysis.Colors.DominantColorBackground;
//dsEntry.DominantForegroundColor = imageAnalysis.Colors.DominantColorForeground;
//dsEntry.AccentColor = imageAnalysis.Colors.AccentColor;
}
}
if (videoAnalysisResult != null)
{
dsEntry.VideosCount = videoAnalysisResult.Count;
double maxSentimentRatio = 0.0;
foreach (var videoAnalysis in videoAnalysisResult)
{
if (videoAnalysis == null)
{
continue;
}
// Retrieve and combine all detected annotations
foreach (var annotation in videoAnalysis.Annotations)
{
dsEntry.Tags.Add(new DataSetTag {
Name = annotation.Name, Score = 0.0
});
}
// Retrieve and combine all detected keywords
foreach (var topic in videoAnalysis.Topics)
{
dsEntry.Tags.Add(new DataSetTag {
Name = topic.Name, Score = 0.0
});
}
// Retrieve and combine all detected text
// NOTE: if Topics are detected, OCR text maybe redundant
foreach (var text in videoAnalysis.Text)
{
dsEntry.Tags.Add(new DataSetTag {
Name = text, Score = 0.0
});
}
// Set the total fruition time to the sum of all video length times
dsEntry.FruitionTime += videoAnalysis.LengthInMinutes;
// Sum the number of people found in all videos
dsEntry.PeopleTotalCount += videoAnalysis.Faces.Count;
// No info of gender in videos
//dsEntry.PeopleFemaleCount += videoAnalysis.Faces.Where(f => f.Gender == Gender.Female).Count();
//dsEntry.PeopleMaleCount += videoAnalysis.Faces.Where(f => f.Gender == Gender.Male).Count();
// Set the entry racy score to the most confident detected adult score
if (videoAnalysis.ContentModeration.AdultClassifierValue > maxAdultScore)
{
maxRacyScore = videoAnalysis.ContentModeration.AdultClassifierValue;
dsEntry.AdultContentScore = videoAnalysis.ContentModeration.AdultClassifierValue;
}
// Set the entry racy score to the most confident detected racy score
if (videoAnalysis.ContentModeration.RacyClassifierValue > maxRacyScore)
{
maxRacyScore = videoAnalysis.ContentModeration.RacyClassifierValue;
dsEntry.RacyContentScore = videoAnalysis.ContentModeration.RacyClassifierValue;
}
// Set the entry sentiment score to the highest ratio
foreach (var sentiment in videoAnalysis.Sentiments)
{
if (sentiment.SeenDurationRatio > maxSentimentRatio)
{
maxSentimentRatio = sentiment.SeenDurationRatio;
var score = sentiment.SentimentKey == "Neutral" ? 0.5 : sentiment.SentimentKey == "Negative" ? 0.0 : 1.0;
if (score > maxSentimentScore)
{
dsEntry.SentimentScore = score;
}
}
}
}
}
return(dsEntry);
}
