static void Main(string[] args)
{
// Google Places Search
// Funtion 1 - FindPlacesUsingTextQuery - Tested
String API_KEY = Console.ReadLine();
GC.Places.PlacesSearch placesSearch = new GC.Places.PlacesSearch();
Task <List <GC.Places.FindPlaceCandidates> > candidates = placesSearch.FindPlacesUsingTextQuery(API_KEY,
"720 Northwestern Ave");
candidates.Wait();
// Function 2 - GetNearbySearchResultsRankByProminence - Tested
GC.Places.Location location = new GC.Places.Location(-33.8670522, 151.1957362);
Task <List <GC.Places.NearbySearchResult> > results = placesSearch.GetNearbySearchResultsRankByProminence(API_KEY, location, 50);
results.Wait();
// Natural Language Intelligence
// Function 3 - AnalyzeEntitySentiment - Tessted
NL.NaturalLanguageIntelligence nli = new NL.NaturalLanguageIntelligence();
NL.Document document = new NL.Document((NL.DocumentType.PLAIN_TEXT), "en", "gs://\"gccl_dd_01/Case Response - Masterpiece Cakeshop.pdf\"");
Task <NL.AnalyzeEntitiesResponse> response = nli.AnalyzeEntitySentiment(API_KEY, document, NL.EncodingType.UTF8);
response.Wait();
// Video Intelligence
// Function 4 - AnnotateVideoWithLabelDetection - Tested
VI.VideoIntelligence videoIntelligence = new VI.VideoIntelligence();
Task <VI.VideoAnnotationResponse> annotateResponse =
videoIntelligence.AnnotateVideoWithLabelDetection(API_KEY, "gs://gccl_dd_01/Video1", "", null);
annotateResponse.Wait();
// Image Intelligence
// Function 5 - AnnotateImage - Tested
II.ImageIntelligence imageIntelligence = new II.ImageIntelligence();
II.ImageSource imageSource = new II.ImageSource("gs://gccl_dd_01/Image1");
II.Image image = new II.Image(source: imageSource);
List <II.ImageFeatures> imageFeatures = new List <II.ImageFeatures>();
II.ImageFeatures faceDetection = new II.ImageFeatures(II.ImageType.FACE_DETECTION, 10, "builtin/stable");
imageFeatures.Add(faceDetection);
II.ImageFeatures landmarkDetection = new II.ImageFeatures(II.ImageType.LANDMARK_DETECTION, 10, "builtin/stable");
imageFeatures.Add(landmarkDetection);
II.ImageFeatures imageProps = new II.ImageFeatures(II.ImageType.IMAGE_PROPERTIES, 10, "builtin/stable");
imageFeatures.Add(imageProps);
II.AnnotateImageRequests request = new II.AnnotateImageRequests(image, imageFeatures, null);
List <II.AnnotateImageRequests> requestsList = new List <II.AnnotateImageRequests>();
requestsList.Add(request);
II.AnnotateImageRequestList imageRequestList = new II.AnnotateImageRequestList(requestsList);
String json = JsonConvert.SerializeObject(imageRequestList);
Console.WriteLine(json);
Task <List <II.AnnotateImageResponse> > responses = imageIntelligence.AnnotateImage(API_KEY, imageRequestList);
responses.Wait();
//String file = "C:\\Users\\Dhairya\\Desktop\\json_out_NL.txt";
//String json = System.IO.File.ReadAllText(file);
//Console.WriteLine(json);
//II.AnnotateImageResponseList list = JsonConvert.DeserializeObject<II.AnnotateImageResponseList>(json);
return;
}
/*
* Method: AnnotateImages
*
* Description: This method can be used to query the Google Cloud Image Intelligence API with a batch of
* images and run image detection and annotation on these images.
*
* Parameters:
* - imageRequests (AnnotateImageRequestList): List of all the individual AnnotateImageRequests that will
* be sent to the Image Intelligence API.
*
* - APIKey (String): Implicity required paramter which should be set through the constructor when
* creating an object of this class. For more details about the Google API Key please see:
* https://developers.google.com/places/web-service/get-api-key
*
*
* Return: If the query is successful, then the method will return a tuple of two items. The first is an
* AnnotateImageResponseList object with image identification and annotation corresponding to each image
* request from the request list. The second element is a ResponseStatus object indicating the status of
* the query along with the appropiate HTTP code. Since the HTTP query and the indentification are both
* performed asynchronously, the return object is wrapped in Task<>.
*/
public async Task <Tuple <AnnotateImageResponseList, ResponseStatus> > AnnotateImages(AnnotateImageRequestList imageRequests, String input = "")
{
if (BasicFunctions.isEmpty(APIKey))
{
return(new Tuple <AnnotateImageResponseList, ResponseStatus>(null, ImageAnnotationStatus.MISSING_API_KEY));
}
if (imageRequests == null || imageRequests.Requests.Count == 0)
{
return(new Tuple <AnnotateImageResponseList, ResponseStatus>(null, ImageAnnotationStatus.MISSING_REQUEST_LIST));
}
// Preparing the header to accept the JSON request body
httpClient.DefaultRequestHeaders.Accept.Clear();
httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
// The API address to which we will make the HTTP POST query
String request_query = "v1/images:annotate?" + $"key={APIKey}";
HttpResponseMessage response = await httpClient.PostAsJsonAsync(request_query, imageRequests);
Stream stream = await response.Content.ReadAsStreamAsync();
StreamReader streamReader = new StreamReader(stream);
String response_str = streamReader.ReadToEnd();
/*
* Similar two-step hop as we have seen before. We try to deserialize the response string, expecting
* an object of AnnotateImageResponseList If the response is not an AnnotateImageResponseList object,
* then we will encounter a JSONSerialization error and return null. If it is as we expect, then we
* just return the AnnotateImageResponseList object.
*/
if (response.IsSuccessStatusCode)
{
AnnotateImageResponseList imageResponseList;
try {
imageResponseList = JsonConvert.DeserializeObject <AnnotateImageResponseList>(response_str);
if (imageResponseList == null || imageResponseList.Responses.Count == 0)
{
return(new Tuple <AnnotateImageResponseList, ResponseStatus>(null, ImageAnnotationStatus.ZERO_RESULTS));
}
} catch (JsonSerializationException e) {
Debug.WriteLine(e.StackTrace);
return(new Tuple <AnnotateImageResponseList, ResponseStatus>(null, ImageAnnotationStatus.DESERIALIZATION_ERROR));
}
return(new Tuple <AnnotateImageResponseList, ResponseStatus>(imageResponseList, ImageAnnotationStatus.OK));
}
else
{
// If the query is not successful, then we try to extract details about the error from the response
AnnotateImageResponseList annotateResponse;
try {
annotateResponse = JsonConvert.DeserializeObject <AnnotateImageResponseList>(response_str);
if (annotateResponse == null)
{
return(new Tuple <AnnotateImageResponseList, ResponseStatus>(null, ImageAnnotationStatus.INTERNAL_SERVER_ERROR));
}
if (annotateResponse.Error == null)
{
return(new Tuple <AnnotateImageResponseList, ResponseStatus>(null, ImageAnnotationStatus.ProcessErrorMessage(response.StatusCode.ToString(), response.ReasonPhrase)));
}
} catch (JsonSerializationException e) {
Debug.WriteLine(e.StackTrace);
return(new Tuple <AnnotateImageResponseList, ResponseStatus>(null, ImageAnnotationStatus.DESERIALIZATION_ERROR));
}
ResponseStatus status = ImageAnnotationStatus.ProcessErrorMessage(annotateResponse.Error.Code.ToString(), annotateResponse.Error.Message);
return(new Tuple <AnnotateImageResponseList, ResponseStatus>(null, status));
}
}