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[Vertex AI] Add Imagen integration tests for GCS and filtering #14403
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142 changes: 142 additions & 0 deletions
142
FirebaseVertexAI/Tests/TestApp/Tests/Integration/ImagenIntegrationTests.swift
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| @@ -0,0 +1,142 @@ | ||
| // Copyright 2025 Google LLC | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
|
||
| import FirebaseAuth | ||
| import FirebaseCore | ||
| import FirebaseStorage | ||
| import FirebaseVertexAI | ||
| import Testing | ||
| import VertexAITestApp | ||
|
|
||
| #if canImport(UIKit) | ||
| import UIKit | ||
| #endif // canImport(UIKit) | ||
|
|
||
| @Suite( | ||
| .enabled( | ||
| if: ProcessInfo.processInfo.environment["VTXIntegrationImagen"] != nil, | ||
| "Only runs if the environment variable VTXIntegrationImagen is set." | ||
| ), | ||
| .serialized | ||
| ) | ||
| struct ImagenIntegrationTests { | ||
| var vertex: VertexAI | ||
| var storage: Storage | ||
| var userID1: String | ||
|
|
||
| init() async throws { | ||
| let authResult = try await Auth.auth().signIn( | ||
| withEmail: Credentials.emailAddress1, | ||
| password: Credentials.emailPassword1 | ||
| ) | ||
| userID1 = authResult.user.uid | ||
|
|
||
| vertex = VertexAI.vertexAI() | ||
| storage = Storage.storage() | ||
| } | ||
|
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||
| @Test func generateImage_inlineImage() async throws { | ||
| let generationConfig = ImagenGenerationConfig( | ||
| negativePrompt: "snow, frost", | ||
| aspectRatio: .portrait3x4, | ||
| imageFormat: .png(), | ||
| addWatermark: false | ||
| ) | ||
| let model = vertex.imagenModel( | ||
| modelName: "imagen-3.0-generate-002", | ||
| generationConfig: generationConfig, | ||
| safetySettings: ImagenSafetySettings( | ||
| safetyFilterLevel: .blockLowAndAbove, | ||
| personFilterLevel: .allowAdult | ||
| ) | ||
| ) | ||
| let imagePrompt = "A woman, 35mm portrait, in front of a mountain range" | ||
|
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| let response = try await model.generateImages(prompt: imagePrompt) | ||
|
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| #expect(response.filteredReason == nil) | ||
| #expect(response.images.count == 1) | ||
| let image = try #require(response.images.first) | ||
| #expect(image.mimeType == "image/png") | ||
| #expect(image.data.isEmpty == false) | ||
| #if canImport(UIKit) | ||
| let uiImage = try #require(UIImage(data: image.data)) | ||
| #expect(uiImage.size.width == 896.0) | ||
| #expect(uiImage.size.height == 1280.0) | ||
| #endif // canImport(UIKit) | ||
| } | ||
|
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| @Test func generateImages_gcsImages() async throws { | ||
| let generationConfig = ImagenGenerationConfig( | ||
| numberOfImages: 3, | ||
| aspectRatio: .landscape16x9, | ||
| imageFormat: .jpeg(compressionQuality: 60), | ||
| addWatermark: true | ||
| ) | ||
| let model = vertex.imagenModel( | ||
| modelName: "imagen-3.0-fast-generate-001", | ||
| generationConfig: generationConfig, | ||
| safetySettings: ImagenSafetySettings( | ||
| safetyFilterLevel: .blockMediumAndAbove, | ||
| personFilterLevel: .blockAll | ||
| ) | ||
| ) | ||
| let prompt = "A dense jungle with light streaming through the treetops" | ||
| let storageRef = storage.reference( | ||
| withPath: "/vertexai/imagen/authenticated/user/\(userID1)" | ||
| ) | ||
|
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| let response = try await model.generateImages(prompt: prompt, gcsUri: storageRef.gsURI) | ||
|
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| #expect(response.filteredReason == nil) | ||
| #expect(response.images.count == generationConfig.numberOfImages) | ||
| for image in response.images { | ||
| #expect(image.mimeType == "image/jpeg") | ||
| let imageRef = storage.reference(forURL: image.gcsURI) | ||
| let imageData = try await imageRef.data(maxSize: 1_000_000) // ~1MB | ||
| #expect(imageData.isEmpty == false) | ||
| #if canImport(UIKit) | ||
| let uiImage = try #require(UIImage(data: imageData)) | ||
| #expect(uiImage.size.width == 1408.0) | ||
| #expect(uiImage.size.height == 768.0) | ||
| #endif // canImport(UIKit) | ||
| try await imageRef.delete() | ||
| } | ||
| } | ||
|
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| @Test func generateImage_allImagesFilteredOut() async throws { | ||
| let generationConfig = ImagenGenerationConfig(numberOfImages: 2, imageFormat: .jpeg()) | ||
| let model = vertex.imagenModel( | ||
| modelName: "imagen-3.0-fast-generate-001", | ||
| generationConfig: generationConfig, | ||
| safetySettings: ImagenSafetySettings( | ||
| safetyFilterLevel: .blockLowAndAbove, | ||
| personFilterLevel: .blockAll | ||
| ) | ||
| ) | ||
| let imagePrompt = "A woman, 35mm portrait, in front of a mountain range" | ||
|
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| let response = try await model.generateImages(prompt: imagePrompt) | ||
|
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| #expect(response.images.isEmpty) | ||
| let filteredReason = try #require(response.filteredReason) | ||
| // 39322892: Detects a person or face when it isn't allowed due to the request safety settings. | ||
| #expect(filteredReason.contains("39322892")) | ||
| // TODO(#14221): Update implementation and test to throw an exception when all filtered out. | ||
| } | ||
|
|
||
| // TODO(#14221): Add an integration test for the prompt being blocked. | ||
|
|
||
| // TODO(#14221): Add integration tests for validating that Storage Rules are enforced. | ||
| } | ||
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Ugh! such an ugly api
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Agreed! Just for reference, the full message (for now) is:
I figure it will be most reliable to match on the support code since it's less likely to change than the message wording.
The code
63236870isn't in the docs so I picked39322892.