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Andrew Heard bc9f9ea1da feat(ai): add FoundationModelsFake for GLM tests (#16995)
Add FoundationModelsFake, a nested Swift package that fakes Apple's
Foundation Models framework, so that GeminiLanguageModel (GLM) can build
and run its unit tests on Linux and on OS versions without the real
framework. It's used only for development and testing.

- GLM depends on the fake through a `FoundationModelsFake` package
  trait, which is on by default where Darwin isn't available (e.g.,
  Linux). With the trait off, the fake isn't built. The root
  `Package.swift` and podspecs can't reach it.
- The fake mirrors Apple's public API and availability in the 27.2
  SDKs, including `@Generable` macro expansions. It omits
  PrivateCloudComputeLanguageModel, OCRTool, BarcodeReaderTool, the
  adapter and feedback APIs, and deprecated APIs.
  SystemLanguageModel is always unavailable. Below Swift 6.4 it
  compiles to an empty module.
- Decoding rejects transcript images with `file:` URLs and schemas
  whose references never resolve, instead of reading local files or
  overflowing the stack.
- Without ImageIO, GLM passes PNG, JPEG, WebP, HEIC, and HEIF images
  through to Gemini after checking their signatures, and rejects
  images that would need re-encoding.
- Add CI jobs that run both packages' tests against the fake: one on
  Linux in a digest-pinned `swift:6.4.2` container, and one on macOS
  with Xcode 27.2. Skip `sdk.ai` for changes that only touch the fake.
2026-11-05 14:13:50 -05:00

255 lines
9.6 KiB
Swift

// Copyright 2026 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.
#if compiler(>=6.4) && (FoundationModelsFake || canImport(FoundationModels)) && canImport(ImageIO)
import Foundation
#if FoundationModelsFake
import FoundationModelsFake
#else
import FoundationModels
#endif
import GeminiAPIClient
import GeminiTestUtilities
import ImageIO
import Testing
import UniformTypeIdentifiers
@testable import GeminiLanguageModel
/// Integration tests for image input (`vision`) using `GeminiLanguageModel`.
///
/// These tests use the default sampling mode, since many Gemini 3 models don't support greedy
/// sampling. To keep responses deterministic, the images are simple, high-contrast, and generated
/// in code, and the prompts tightly constrain the format of the answer.
@Suite(
"Image Understanding Integration Tests",
.requireFoundationModels,
.tags(.integration)
)
struct ImageUnderstandingIntegrationTests {
/// The instruction appended to prompts that expect a single color name.
static let oneColorWordFormat =
"Respond with exactly one lowercase English word and no punctuation."
@Test(
.requireIntegrationTestingBackend,
arguments: IntegrationTestingBackend.availableBackends
)
@available(macOS 27.0, iOS 27.0, watchOS 27.0, visionOS 27.0, *)
func sessionRespondWithImage(backend: IntegrationTestingBackend) async throws {
let model = try await backend.makeModel()
let session = LanguageModelSession(model: model)
let image = try TestImages.solid(.red)
let response = try await session.respond {
Attachment(image)
"Name the color that fills this entire image. \(Self.oneColorWordFormat)"
}
#expect(response.content.localizedCaseInsensitiveContains("red"))
#expect(response.usage.input.totalTokenCount > 0)
#expect(response.usage.output.totalTokenCount > 0)
}
@Test(
.requireIntegrationTestingBackend,
arguments: IntegrationTestingBackend.availableBackends
)
@available(macOS 27.0, iOS 27.0, watchOS 27.0, visionOS 27.0, *)
func sessionRespondComparingTwoImages(backend: IntegrationTestingBackend) async throws {
let model = try await backend.makeModel()
let session = LanguageModelSession(model: model)
let firstImage = try TestImages.solid(.red)
let secondImage = try TestImages.solid(.blue)
let response = try await session.respond {
"""
Each of the following two images is filled with a single color. Respond with exactly two \
lowercase English words separated by a single space and no punctuation: the color of the \
first image, then the color of the second image.
"""
Attachment(firstImage)
Attachment(secondImage)
}
let words = response.content.lowercased().split(whereSeparator: { !$0.isLetter })
#expect(words == ["red", "blue"])
}
@Generable(description: "The shape shown in an image")
@available(macOS 27.0, iOS 27.0, watchOS 27.0, visionOS 27.0, *)
@available(tvOS, unavailable)
enum ShapeLabel: String {
/// A circle.
case circle
/// A square.
case square
/// A triangle.
case triangle
}
// A top-level enum isn't used directly because top-level enum guided generation currently
// fails to decode Gemini's JSON-quoted string, independent of image input.
@Generable(description: "The classification of the shape shown in an image")
@available(macOS 27.0, iOS 27.0, watchOS 27.0, visionOS 27.0, *)
@available(tvOS, unavailable)
struct ShapeClassification {
/// The shape shown in the image.
var shape: ShapeLabel
}
@Test(
.requireIntegrationTestingBackend,
arguments: IntegrationTestingBackend.availableBackends, TestImages.Shape.allCases
)
@available(macOS 27.0, iOS 27.0, watchOS 27.0, visionOS 27.0, *)
func sessionRespondClassifyingImage(
backend: IntegrationTestingBackend,
shape: TestImages.Shape
) async throws {
let model = try await backend.makeModel()
let session = LanguageModelSession(model: model)
let image = try TestImages.shape(shape)
let response = try await session.respond(generating: ShapeClassification.self) {
"""
The following image shows exactly one large black geometric shape on a white background. \
Choose the label that names that shape: circle, square, or triangle.
"""
Attachment(image)
}
#expect(response.content.shape.rawValue == shape.rawValue)
}
@Test(
.requireIntegrationTestingBackend,
arguments: IntegrationTestingBackend.availableBackends
)
@available(macOS 27.0, iOS 27.0, watchOS 27.0, visionOS 27.0, *)
func sessionRespondAppliesImageOrientation(backend: IntegrationTestingBackend) async throws {
let model = try await backend.makeModel()
let session = LanguageModelSession(model: model)
// Stored with red on top; displaying it in the `.down` orientation puts blue on top.
let image = try TestImages.halves(top: .red, bottom: .blue)
let response = try await session.respond {
Attachment(image, orientation: .down)
"""
This image is split into a top half and a bottom half, each filled with a single color. \
Name the color of the top half. \(Self.oneColorWordFormat)
"""
}
#expect(response.content.localizedCaseInsensitiveContains("blue"))
#expect(!response.content.localizedCaseInsensitiveContains("red"))
}
@Test(
.requireIntegrationTestingBackend,
arguments: IntegrationTestingBackend.availableBackends
)
@available(macOS 27.0, iOS 27.0, watchOS 27.0, visionOS 27.0, *)
func sessionRespondWithImageFileURL(backend: IntegrationTestingBackend) async throws {
let model = try await backend.makeModel()
let session = LanguageModelSession(model: model)
let fileData = try TestImages.encode(TestImages.solid(.green), as: .png)
let url = try TestImages.writeTemporaryFile(fileData, pathExtension: "png")
defer { try? FileManager.default.removeItem(at: url) }
let response = try await session.respond {
Attachment(imageURL: url)
"Name the color that fills this entire image. \(Self.oneColorWordFormat)"
}
#expect(response.content.localizedCaseInsensitiveContains("green"))
}
@Test(
.requireIntegrationTestingBackend,
.enabled(if: TestImages.canEncode(.heic)),
arguments: IntegrationTestingBackend.availableBackends
)
@available(macOS 27.0, iOS 27.0, watchOS 27.0, visionOS 27.0, *)
func sessionRespondWithHEICFileURL(backend: IntegrationTestingBackend) async throws {
// Upright HEIC files are sent unchanged as `image/heic`, so this checks that the backend
// accepts that MIME type.
let model = try await backend.makeModel()
let session = LanguageModelSession(model: model)
let fileData = try TestImages.encode(TestImages.solid(.blue), as: .heic)
let url = try TestImages.writeTemporaryFile(fileData, pathExtension: "heic")
defer { try? FileManager.default.removeItem(at: url) }
let response = try await session.respond {
Attachment(imageURL: url)
"Name the color that fills this entire image. \(Self.oneColorWordFormat)"
}
#expect(response.content.localizedCaseInsensitiveContains("blue"))
}
@Test(
.requireIntegrationTestingBackend,
arguments: IntegrationTestingBackend.availableBackends
)
@available(macOS 27.0, iOS 27.0, watchOS 27.0, visionOS 27.0, *)
func sessionStreamResponseWithImage(backend: IntegrationTestingBackend) async throws {
let model = try await backend.makeModel()
let session = LanguageModelSession(model: model)
let image = try TestImages.solid(.yellow)
let stream = session.streamResponse {
Attachment(image)
"Name the color that fills this entire image. \(Self.oneColorWordFormat)"
}
var snapshotCount = 0
for try await _ in stream {
snapshotCount += 1
}
let response = try await stream.collect()
#expect(snapshotCount > 0)
#expect(response.content.localizedCaseInsensitiveContains("yellow"))
}
@Test(
.requireIntegrationTestingBackend,
arguments: IntegrationTestingBackend.availableBackends
)
@available(macOS 27.0, iOS 27.0, watchOS 27.0, visionOS 27.0, *)
func sessionRespondMultiTurnWithImageInHistory(
backend: IntegrationTestingBackend
) async throws {
let model = try await backend.makeModel()
let session = LanguageModelSession(model: model)
let image = try TestImages.solid(.blue)
_ = try await session.respond {
Attachment(image)
"Remember this image for my next question. Respond with exactly the word OK."
}
let response = try await session.respond(
to: """
Name the color that fills the entire image I sent in my previous message. \
\(Self.oneColorWordFormat)
"""
)
#expect(response.content.localizedCaseInsensitiveContains("blue"))
}
}
#endif // FoundationModels && canImport(ImageIO)