[Firebase AI] Add the test json files

firebaseai/testapp/Assets/Firebase/Sample/FirebaseAI/UIHandlerAutomated.cs

@@ -27,7 +27,7 @@ namespace Firebase.Sample.FirebaseAI {
   using System.Threading.Tasks;
   using Google.MiniJSON;
   using UnityEngine;
-  using UnityEngine.Video;
+  using UnityEngine.Networking;
   using System.IO;
 #if INCLUDE_FIREBASE_AUTH
   using Firebase.Auth;
@@ -70,6 +70,8 @@ protected override void Start() {
         TestCountTokens,
         TestYoutubeLink,
         TestGenerateImage,
+        TestImagenGenerateImage,
+        TestImagenGenerateImageOptions
       };
       // Set of tests that only run the single time.
       Func<Task>[] singleTests = {
@@ -86,6 +88,9 @@ protected override void Start() {
         InternalTestBasicResponseLongUsageMetadata,
         InternalTestGoogleAIBasicReplyShort,
         InternalTestGoogleAICitations,
+        InternalTestGenerateImagesBase64,
+        InternalTestGenerateImagesAllFiltered,
+        InternalTestGenerateImagesBase64SomeFiltered,
       };
 
       // Create the set of tests, combining the above lists.
@@ -443,7 +448,7 @@ async Task TestEnumSchemaResponse(Backend backend) {
         generationConfig: new GenerationConfig(
           responseMimeType: "text/x.enum",
           responseSchema: Schema.Enum(new string[] { enumValue })));
-      
+
       var response = await model.GenerateContentAsync(
         "Hello, I am testing setting the response schema to an enum.");
 
@@ -459,7 +464,7 @@ async Task TestAnyOfSchemaResponse(Backend backend) {
               Schema.AnyOf(new[] { Schema.Int(), Schema.String() }),
               minItems: 2,
               maxItems: 6)));
-      
+
       var response = await model.GenerateContentAsync(
         "Hello, I am testing setting the response schema with an array, cause you give me some random values.");
 
@@ -658,7 +663,7 @@ async Task TestYoutubeLink(Backend backend) {
     async Task TestGenerateImage(Backend backend) {
       var model = GetFirebaseAI(backend).GetGenerativeModel("gemini-2.0-flash-exp",
         generationConfig: new GenerationConfig(
-          responseModalities: new [] { ResponseModality.Text, ResponseModality.Image })
+          responseModalities: new[] { ResponseModality.Text, ResponseModality.Image })
       );
 
       GenerateContentResponse response = await model.GenerateContentAsync(
@@ -683,6 +688,58 @@ async Task TestGenerateImage(Backend backend) {
       Assert($"Missing expected modalities. Text: {foundText}, Image: {foundImage}", foundText && foundImage);
     }
 
+    async Task TestImagenGenerateImage(Backend backend) {
+      var model = GetFirebaseAI(backend).GetImagenModel("imagen-3.0-generate-002");
+
+      var response = await model.GenerateImagesAsync(
+          "Generate an image of a cartoon dog.");
+
+      // We can't easily test if the image is correct, but can check other random data.
+      AssertEq("FilteredReason", response.FilteredReason, null);
+      AssertEq("Image Count", response.Images.Count, 1);
+
+      AssertEq($"Image MimeType", response.Images[0].MimeType, "image/png");
+
+      var texture = response.Images[0].AsTexture2D();
+      Assert($"Image as Texture2D", texture != null);
+      // By default the image should be Square 1x1, so check for that.
+      Assert($"Image Height > 0", texture.height > 0);
+      AssertEq($"Image Height = Width", texture.height, texture.width);
+    }
+
+    async Task TestImagenGenerateImageOptions(Backend backend) {
+      var model = GetFirebaseAI(backend).GetImagenModel(
+          modelName: "imagen-3.0-generate-002",
+          generationConfig: new ImagenGenerationConfig(
+            // negativePrompt and addWatermark are not supported on this version of the model.
+            numberOfImages: 2,
+            aspectRatio: ImagenAspectRatio.Landscape4x3,
+            imageFormat: ImagenImageFormat.Jpeg(50)
+          ),
+          safetySettings: new ImagenSafetySettings(
+            safetyFilterLevel: ImagenSafetySettings.SafetyFilterLevel.BlockLowAndAbove,
+            personFilterLevel: ImagenSafetySettings.PersonFilterLevel.BlockAll),
+          requestOptions: new RequestOptions(timeout: TimeSpan.FromMinutes(1)));
+
+      var response = await model.GenerateImagesAsync(
+          "Generate an image of a cartoon dog.");
+
+      // We can't easily test if the image is correct, but can check other random data.
+      AssertEq("FilteredReason", response.FilteredReason, null);
+      AssertEq("Image Count", response.Images.Count, 2);
+
+      for (int i = 0; i < 2; i++) {
+        AssertEq($"Image {i} MimeType", response.Images[i].MimeType, "image/jpeg");
+
+        var texture = response.Images[i].AsTexture2D();
+        Assert($"Image {i} as Texture2D", texture != null);
+        // By default the image should be Landscape 4x3, so check for that.
+        Assert($"Image {i} Height > 0", texture.height > 0);
+        Assert($"Image {i} Height < Width {texture.height} < {texture.width}",
+            texture.height < texture.width);
+      }
+    }
+
     // Test providing a file from a GCS bucket (Firebase Storage) to the model.
     async Task TestReadFile() {
       // GCS is currently only supported with VertexAI.
@@ -737,17 +794,43 @@ async Task TestReadSecureFile() {
 
     // The url prefix to use when fetching test data to use from the separate GitHub repo.
     readonly string testDataUrl =
-        "https://raw.githubusercontent.com/FirebaseExtended/vertexai-sdk-test-data/3737ae1fe9c5ecbd55abdeabc273ef4f392cbf19/mock-responses/";
+        "https://raw.githubusercontent.com/FirebaseExtended/vertexai-sdk-test-data/47becf9101d11ea3c568bf60b12f1c8ed9fb684e/mock-responses/";
     readonly HttpClient httpClient = new();
 
+    private Task<string> LoadStreamingAsset(string fullPath) {
+      TaskCompletionSource<string> tcs = new TaskCompletionSource<string>();
+      UnityWebRequest request = UnityWebRequest.Get(fullPath);
+      request.SendWebRequest().completed += (_) => {
+        if (request.result == UnityWebRequest.Result.Success) {
+          tcs.SetResult(request.downloadHandler.text);
+        } else {
+          tcs.SetResult(null);
+        }
+      };
+      return tcs.Task;
+    }
+
     // Gets the Json test data from the given filename, potentially downloading from a GitHub repo.
     private async Task<Dictionary<string, object>> GetJsonTestData(string filename) {
-      // TODO: Check if the file is available locally first
+      string jsonString = null;
+      // First, try to load the file from StreamingAssets
+      string localPath = Path.Combine(Application.streamingAssetsPath, "TestData", filename);
+      if (localPath.StartsWith("jar") || localPath.StartsWith("http")) {
+        // Special case to access StreamingAsset content on Android
+        jsonString = await LoadStreamingAsset(localPath);
+      } else if (File.Exists(localPath)) {
+        jsonString = File.ReadAllText(localPath);
+      }
 
-      var response = await httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Get, testDataUrl + filename));
-      response.EnsureSuccessStatusCode();
-
-      string jsonString = await response.Content.ReadAsStringAsync();
+      if (string.IsNullOrEmpty(jsonString)) {
+        DebugLog("Failed to load from local file, downloading...");
+        var response = await httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Get, testDataUrl + filename));
+        response.EnsureSuccessStatusCode();
+
+        jsonString = await response.Content.ReadAsStringAsync();
+      } else {
+        DebugLog("Using local file");
+      }
 
       return Json.Deserialize(jsonString) as Dictionary<string, object>;
     }
@@ -862,7 +945,7 @@ async Task InternalTestBasicReplyShort() {
     async Task InternalTestCitations() {
       Dictionary<string, object> json = await GetVertexJsonTestData("unary-success-citations.json");
       GenerateContentResponse response = GenerateContentResponse.FromJson(json, FirebaseAI.Backend.InternalProvider.VertexAI);
-      
+
       ValidateTextPart(response, "Some information cited from an external source");
 
       CitationMetadata? metadata = response.Candidates.First().CitationMetadata;
@@ -1050,7 +1133,7 @@ async Task InternalTestBasicResponseLongUsageMetadata() {
     // Test that parsing a basic short reply from Google AI endpoint works as expected.
     // https://github.com/FirebaseExtended/vertexai-sdk-test-data/blob/main/mock-responses/googleai/unary-success-basic-reply-short.txt
     async Task InternalTestGoogleAIBasicReplyShort() {
-      Dictionary<string, object> json = await GetGoogleAIJsonTestData("unary-success-basic-reply-short.txt"); //
+      Dictionary<string, object> json = await GetGoogleAIJsonTestData("unary-success-basic-reply-short.json"); //
       GenerateContentResponse response = GenerateContentResponse.FromJson(json, FirebaseAI.Backend.InternalProvider.GoogleAI);
 
       ValidateTextPart(response, "Google's headquarters, also known as the Googleplex, is located in **Mountain View, California**.\n");
@@ -1076,12 +1159,12 @@ async Task InternalTestGoogleAIBasicReplyShort() {
     // Test parsing a Google AI format response with citations.
     // Based on: https://github.com/FirebaseExtended/vertexai-sdk-test-data/blob/main/mock-responses/googleai/unary-success-citations.txt
     async Task InternalTestGoogleAICitations() {
-      Dictionary<string, object> json = await GetGoogleAIJsonTestData("unary-success-citations.txt");
+      Dictionary<string, object> json = await GetGoogleAIJsonTestData("unary-success-citations.json");
       GenerateContentResponse response = GenerateContentResponse.FromJson(json, FirebaseAI.Backend.InternalProvider.GoogleAI);
 
       // Validate Text Part (check start and end)
       string expectedStart = "Okay, let's break down quantum mechanics.";
-      string expectedEnd = "foundation for many technologies, including:\n";
+      string expectedEnd = "area of physics!";
       Assert("Candidate count", response.Candidates.Count() == 1);
       Candidate candidate = response.Candidates.First();
       AssertEq("Content role", candidate.Content.Role, "model");
@@ -1153,5 +1236,54 @@ async Task InternalTestGoogleAICitations() {
       AssertEq("CandidatesTokensDetails[0].Modality", candidatesDetails[0].Modality, ContentModality.Text);
       AssertEq("CandidatesTokensDetails[0].TokenCount", candidatesDetails[0].TokenCount, 1667);
     }
+
+    async Task InternalTestGenerateImagesBase64() {
+      Dictionary<string, object> json = await GetVertexJsonTestData("unary-success-generate-images-base64.json");
+      var response = ImagenGenerationResponse<ImagenInlineImage>.FromJson(json);
+
+      AssertEq("FilteredReason", response.FilteredReason, null);
+      AssertEq("Image Count", response.Images.Count, 4);
+
+      for (int i = 0; i < response.Images.Count; i++) {
+        var image = response.Images[i];
+        AssertEq($"Image {i} MimeType", image.MimeType, "image/png");
+        Assert($"Image {i} Length: {image.Data.Length}", image.Data.Length > 0);
+
+        var texture = image.AsTexture2D();
+        Assert($"Failed to convert Image {i}", texture != null);
+      }
+    }
+
+    async Task InternalTestGenerateImagesAllFiltered() {
+      Dictionary<string, object> json = await GetVertexJsonTestData("unary-failure-generate-images-all-filtered.json");
+      var response = ImagenGenerationResponse<ImagenInlineImage>.FromJson(json);
+
+      AssertEq("FilteredReason", response.FilteredReason,
+        "Unable to show generated images. All images were filtered out because " +
+        "they violated Vertex AI's usage guidelines. You will not be charged for " +
+        "blocked images. Try rephrasing the prompt. If you think this was an error, " +
+        "send feedback. Support codes: 39322892, 29310472");
+      AssertEq("Image Count", response.Images.Count, 0);
+    }
+
+    async Task InternalTestGenerateImagesBase64SomeFiltered() {
+      Dictionary<string, object> json = await GetVertexJsonTestData("unary-failure-generate-images-base64-some-filtered.json");
+      var response = ImagenGenerationResponse<ImagenInlineImage>.FromJson(json);
+
+      AssertEq("FilteredReason", response.FilteredReason,
+        "Your current safety filter threshold filtered out 2 generated images. " +
+        "You will not be charged for blocked images. Try rephrasing the prompt. " +
+        "If you think this was an error, send feedback.");
+      AssertEq("Image Count", response.Images.Count, 2);
+
+      for (int i = 0; i < response.Images.Count; i++) {
+        var image = response.Images[i];
+        AssertEq($"Image {i} MimeType", image.MimeType, "image/png");
+        Assert($"Image {i} Length: {image.Data.Length}", image.Data.Length > 0);
+
+        var texture = image.AsTexture2D();
+        Assert($"Failed to convert Image {i}", texture != null);
+      }
+    }
   }
 }

firebaseai/testapp/Assets/StreamingAssets/TestData/googleai/unary-success-basic-reply-short.json

@@ -0,0 +1,52 @@
+{
+  "candidates": [
+    {
+      "content": {
+        "parts": [
+          {
+            "text": "Google's headquarters, also known as the Googleplex, is located in **Mountain View, California**.\n"
+          }
+        ],
+        "role": "model"
+      },
+      "finishReason": "STOP",
+      "safetyRatings": [
+        {
+          "category": "HARM_CATEGORY_HATE_SPEECH",
+          "probability": "NEGLIGIBLE"
+        },
+        {
+          "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+          "probability": "NEGLIGIBLE"
+        },
+        {
+          "category": "HARM_CATEGORY_HARASSMENT",
+          "probability": "NEGLIGIBLE"
+        },
+        {
+          "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+          "probability": "NEGLIGIBLE"
+        }
+      ],
+      "avgLogprobs": -0.048741644079034981
+    }
+  ],
+  "usageMetadata": {
+    "promptTokenCount": 7,
+    "candidatesTokenCount": 22,
+    "totalTokenCount": 29,
+    "promptTokensDetails": [
+      {
+        "modality": "TEXT",
+        "tokenCount": 7
+      }
+    ],
+    "candidatesTokensDetails": [
+      {
+        "modality": "TEXT",
+        "tokenCount": 22
+      }
+    ]
+  },
+  "modelVersion": "gemini-2.0-flash"
+}