public static async Task <string> AnalyzePhoto(TraceWriter log, PhotoToAnalyze photoToAnalyze, ImageAnalysisTableAdapter imageAnalysisTableAdapter)
{
using (HttpClient httpClient = new HttpClient())
{
Stopwatch stopwatch = Stopwatch.StartNew();
VisionApiResponse visionApiResponse = await GetGoogleVisionApi(log, photoToAnalyze, httpClient);
List <Face> msFaces = await GetMsFaces(log, photoToAnalyze, httpClient);
Analysis msAnalysis = await GetMsAnalysis(log, photoToAnalyze, httpClient);
if (visionApiResponse?.Responses.Count == 1 && msAnalysis != null)
{
ImageAnalysis canonicalImageAnalysis = new ImageAnalysis(visionApiResponse.Responses[0], msAnalysis, msFaces);
ImageAnalysisEntity imageAnalysisEntity = new ImageAnalysisEntity
{
// for canonical truncate decimal precision to 4 decimal places, for others keep original precision
CanonicalJson = JsonConvert.SerializeObject(canonicalImageAnalysis, JsonUtils.AnalysisSerializerSettings),
GoogleVisionApiJson = JsonConvert.SerializeObject(visionApiResponse.Responses[0], JsonUtils.JsonSerializerSettings),
MsCognitiveFaceDetectJson = JsonConvert.SerializeObject(msFaces, JsonUtils.JsonSerializerSettings),
MsAnalysisJson = JsonConvert.SerializeObject(msAnalysis, JsonUtils.JsonSerializerSettings)
};
if (imageAnalysisEntity.GoogleVisionApiJson.Length > 30000)
{
log.Warning($"Google vision API response JSON is {imageAnalysisEntity.GoogleVisionApiJson.Length} chars, removing TextAnnotations");
visionApiResponse.Responses[0].TextAnnotations = null;
imageAnalysisEntity.GoogleVisionApiJson = JsonConvert.SerializeObject(visionApiResponse.Responses[0], JsonUtils.JsonSerializerSettings);
}
if (imageAnalysisEntity.GoogleVisionApiJson.Length > 45000)
{
log.Warning($"GoogleVisionApiJson still is {imageAnalysisEntity.GoogleVisionApiJson.Length} chars after removing TextAnnotations");
}
if (imageAnalysisEntity.CanonicalJson.Length > 45000)
{
log.Warning($"CanonicalJson is {imageAnalysisEntity.CanonicalJson.Length} chars");
}
if (imageAnalysisEntity.MsCognitiveFaceDetectJson.Length > 45000)
{
log.Warning($"MsCognitiveFaceDetectJson is {imageAnalysisEntity.MsCognitiveFaceDetectJson.Length} chars");
}
if (imageAnalysisEntity.MsAnalysisJson.Length > 45000)
{
log.Warning($"MsAnalysisJson is {imageAnalysisEntity.MsAnalysisJson.Length} chars");
}
imageAnalysisTableAdapter.InsertImageAnalysis(imageAnalysisEntity, photoToAnalyze.Url);
imageAnalysisTableAdapter.InsertBlogImageAnalysis(SanityHelper.SanitizeSourceBlog(photoToAnalyze.Blog), photoToAnalyze.Url);
log.Info($"All analyses for {photoToAnalyze.Url} saved in {stopwatch.ElapsedMilliseconds}ms");
return(null);
}
log.Warning("Failed to get all responses");
return("Failed to get all responses");
}
}
public void UpdateImageAnalysis(ImageAnalysisEntity imageAnalysisEntity)
{
if (imageAnalysisEntity.PartitionKey == null || imageAnalysisEntity.RowKey == null)
{
throw new InvalidOperationException("Can only update entities with valid PartitionKey and RowKey");
}
TableOperation mergeOperation = TableOperation.Merge(imageAnalysisEntity);
imageAnalysisTable.Execute(mergeOperation);
}
public ImageAnalysisEntity GetImageAnalysis(string photoUrl)
{
string encodedUrl = WebUtility.UrlEncode(photoUrl);
TableOperation retrieveOperation = TableOperation.Retrieve <ImageAnalysisEntity>(encodedUrl, "analysis");
TableResult result = imageAnalysisTable.Execute(retrieveOperation);
if (result.HttpStatusCode == 200)
{
ImageAnalysisEntity entity = (ImageAnalysisEntity)result.Result;
return(entity);
}
return(null);
}
public void InsertImageAnalysis(ImageAnalysisEntity imageAnalysisEntity, string photoUrl)
{
imageAnalysisEntity.PartitionKey = WebUtility.UrlEncode(photoUrl);
imageAnalysisEntity.RowKey = "analysis";
TableOperation insertOrMergeOperation = TableOperation.InsertOrMerge(imageAnalysisEntity);
try
{
imageAnalysisTable.Execute(insertOrMergeOperation);
}
catch (Exception ex)
{
throw new DataException($"InsertImageAnalysis failed with URL {photoUrl}", ex);
}
}
