[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;
@@ -443,7 +443,7 @@ 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 +459,7 @@ 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 +658,7 @@ 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(
@@ -737,17 +737,40 @@ 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)) {
+        var response = await httpClient.SendAsync(new HttpRequestMessage(HttpMethod.Get, testDataUrl + filename));
+        response.EnsureSuccessStatusCode();
+
+        jsonString = await response.Content.ReadAsStringAsync();
+      }
 
       return Json.Deserialize(jsonString) as Dictionary<string, object>;
     }
@@ -862,7 +885,7 @@ 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 +1073,7 @@ 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 +1099,12 @@ 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");

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"
+}

firebaseai/testapp/Assets/StreamingAssets/TestData/googleai/unary-success-citations.json

@@ -0,0 +1,75 @@
+{
+  "candidates": [
+    {
+      "content": {
+        "parts": [
+          {
+            "text": "Okay, let's break down quantum mechanics. It's a challenging but fascinating area of physics!"
+          }
+        ],
+        "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"
+        }
+      ],
+      "citationMetadata": {
+        "citationSources": [
+          {
+            "startIndex": 548,
+            "endIndex": 690,
+            "uri": "https://www.example.com/some-citation-1",
+            "license": "mit"
+          },
+          {
+            "startIndex": 1240,
+            "endIndex": 1407,
+            "uri": "https://www.example.com/some-citation-1"
+          },
+          {
+            "startIndex": 1942,
+            "endIndex": 2149
+          },
+          {
+            "startIndex": 2036,
+            "endIndex": 2175
+          }
+        ]
+      },
+      "avgLogprobs": -0.30887421148582783
+    }
+  ],
+  "usageMetadata": {
+    "promptTokenCount": 15,
+    "candidatesTokenCount": 1667,
+    "totalTokenCount": 1682,
+    "promptTokensDetails": [
+      {
+        "modality": "TEXT",
+        "tokenCount": 15
+      }
+    ],
+    "candidatesTokensDetails": [
+      {
+        "modality": "TEXT",
+        "tokenCount": 1667
+      }
+    ]
+  },
+  "modelVersion": "gemini-2.0-flash"
+}

firebaseai/testapp/Assets/StreamingAssets/TestData/vertexai/unary-failure-finish-reason-safety-no-content.json

@@ -0,0 +1,43 @@
+{
+  "candidates": [
+    {
+      "finishReason": "SAFETY",
+      "safetyRatings": [
+        {
+          "category": "HARM_CATEGORY_HATE_SPEECH",
+          "probability": "NEGLIGIBLE",
+          "probabilityScore": 0.3984375,
+          "severity": "HARM_SEVERITY_LOW",
+          "severityScore": 0.21582031
+        },
+        {
+          "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+          "probability": "NEGLIGIBLE",
+          "probabilityScore": 0.14941406,
+          "severity": "HARM_SEVERITY_NEGLIGIBLE",
+          "severityScore": 0.02331543
+        },
+        {
+          "category": "HARM_CATEGORY_HARASSMENT",
+          "probability": "LOW",
+          "blocked": true,
+          "probabilityScore": 0.61328125,
+          "severity": "HARM_SEVERITY_LOW",
+          "severityScore": 0.31835938
+        },
+        {
+          "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+          "probability": "NEGLIGIBLE",
+          "probabilityScore": 0.13476563,
+          "severity": "HARM_SEVERITY_NEGLIGIBLE",
+          "severityScore": 0.12109375
+        }
+      ]
+    }
+  ],
+  "usageMetadata": {
+    "promptTokenCount": 8,
+    "totalTokenCount": 8
+  },
+  "modelVersion": "gemini-1.5-flash"
+}

firebaseai/testapp/Assets/StreamingAssets/TestData/vertexai/unary-failure-generate-images-all-filtered.json

@@ -0,0 +1,7 @@
+{
+  "predictions": [
+    {
+      "raiFilteredReason": "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"
+    }
+  ]
+}