本文整理汇总了C#中System.IO.StreamWriter.WriteElementString方法的典型用法代码示例。如果您正苦于以下问题:C# StreamWriter.WriteElementString方法的具体用法?C# StreamWriter.WriteElementString怎么用?C# StreamWriter.WriteElementString使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类System.IO.StreamWriter
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示例1: RunTwitterApplication
//.........这里部分代码省略.........
List<Hook> HooksforExcel = Hooks.ToList<Hook>();
//ExcelFileWriter<Hook> myExcel = new ExcelWrite();
//myExcel.WriteDateToExcel(@"C:\TEMP\myExcel.xls", HooksforExcel, "A1", "D1");
// Landmark is detected by trackers
// Landmark is pushed to method for extracting content from DB
// This can happen either here or in openframeworks
// Once content is extracted it must be sequenced on the basis of :
// Time to play each item : Once one item is played for a certain preset amount of time extract the next from DB
// Time calculation in openframeworks:
// Update loop and draw loop
// The sensing modules exist on this side. So Hooks are selected here and published onto the interface between OF and Encounter#
// Hooks are read by OF and sequenced according to time parameters in OF
//Two kinds of time parameters in OF:
// Amount of time video must be played for
// Amount of time a hook should be shown for
// How does timing fit into the update and draw cycles?
// Use a timer, counting seconds until a value is reached
// Validation for time count can be executed at every loop update
// Update should contain a timing module where all the timing logic can be placed
// Objects required in OF
// OF has to handle video placement, playback and sequencing
// OF has to handle Hook placement, sequencing and timing
// OF has to handle visual blocks with animated elements
Console.WriteLine("Stream detection live now:");
stream_for_landmark.MatchingTweetReceived += (sender, arg) =>
{
// Storing the tweet
string tweet = arg.Tweet.ToString();
// Searching through tweet to find relevant landmark
Landmark detectedlandmark = Find_tweeted_landmark(Landmarks, tweet);
// Getting the hook categories that the landmark satisfies
string[] relevantHookCategories = detectedlandmark.Categories;
// Writing detected landmark to text file interface between here and OF
using (StreamWriter writer = new StreamWriter(rootdirectory + @"Project Encounter\Package\Config_Interfaces\TriggeredLandmark.txt", false))
{
writer.Write(detectedlandmark.Name);
}
// Selecting hooks that belong to the relevant categories corresponding to the landmark
List<Hook> RelevantHooks = new List<Hook>();
foreach (string category in relevantHookCategories)
{
RelevantHooks.AddRange((from item in Hooks
where item.category == category
select item).ToArray());
}
// Storing current sensor values
DayorNight = landingzone.DayOrNight();
Weather = Sensors.WeatherSense.SunnyOrCloudy();
// Further filtering hooks based on sensor values
List<Hook> RelevantHooksSensorFilters = new List<Hook>();
RelevantHooksSensorFilters.AddRange(from hook in RelevantHooks
where hook.timeofday.Contains(DayorNight) && hook.weather.Contains(Weather)
select hook);
// Writing the selected hooks to an XML to be read in by OF
using (XmlWriter writer = XmlWriter.Create(rootdirectory + @"Project Encounter\of_v0.8.4_vs_release\apps\myApps\OpenEncounters\bin\dataHooks.xml"))
{
writer.WriteStartDocument();
writer.WriteStartElement("Filtered_hooks");
foreach (Hook item in RelevantHooksSensorFilters)
{
writer.WriteStartElement("Hook");
writer.WriteElementString("text", item.text);
writer.WriteElementString("category", item.category);
writer.WriteElementString("weather", item.weather);
writer.WriteElementString("timeofday", item.timeofday);
writer.WriteElementString("font", item.font);
writer.WriteEndElement();
}
writer.WriteEndElement();
writer.WriteEndDocument();
}
Console.WriteLine(tweet);
Console.WriteLine();
Console.Write("Landmark Triggered:"); Console.Write(detectedlandmark.Name);
Console.WriteLine();
//System.Threading.Thread.Sleep(
//(int)System.TimeSpan.FromSeconds(30).TotalMilliseconds);
};
// Starting twitter stream detection
stream_for_landmark.StartStreamMatchingAllConditions();
}