async Task ReportLikeToAWS(CustomVisionResponse imagePrediction, IEnumerable <string> hashtags)
{
var client = new HttpClient();
var dataProcessingPipeReport = new DataProcessingPipelineReport {
ImageAnalysis = imagePrediction,
Username = Username,
Timestamp = DateTime.Now,
Hashtags = hashtags,
Id = Guid.NewGuid()
};
var json = JsonConvert.SerializeObject(dataProcessingPipeReport);
using (var content = new StringContent(json)) {
var response = await client.PostAsync(Ec2MasterUrl, content);
}
}
public void LikeLoop()
{
// Run infinite loop
while (true)
{
var all = app.Query(q => q.Class("WKWebView").Css("*"));
var hashtags = new List <string> ();
// Search for hashtag
foreach (var element in all)
{
if (!string.IsNullOrEmpty(element.TextContent) && element.Class == "_ezgzd")
{
var regex = new Regex(@"(?<=#)\w+");
var matches = regex.Matches(element.TextContent);
foreach (Match m in matches)
{
hashtags.Add(m.Value);
}
}
}
// Search for the like button
foreach (var element in all)
{
if (element.Class.Contains("coreSpriteHeartOpen"))
{
// Tap the like button
app.TapCoordinates(element.Rect.CenterX, element.Rect.CenterY);
// Capture a screenshot
var imageFileInfo = app.Screenshot(DateTime.Now.ToString());
CustomVisionResponse imagePrediction = null;
try {
// Analyze the image with Microsoft Custom Vision
var predictionRequestTask = MakePredictionRequest(imageFileInfo.FullName);
predictionRequestTask.Wait();
// Save predictions
imagePrediction = predictionRequestTask.Result;
} catch (Exception ex) {
Console.WriteLine($"Failed to get image ML details: {ex.Message}");
} finally {
File.Delete(imageFileInfo.FullName);
}
try {
// Report results: hashtags + ML predictions + metadata to AWS
ReportLikeToAWS(imagePrediction, hashtags).Wait();
} catch (Exception ex) {
Console.WriteLine($"Failed to report like to AWS: {ex.Message}");
}
break;
}
}
app.ScrollDown();
}
}
