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67 changes: 67 additions & 0 deletions FirebaseVertexAI/Tests/Unit/Snippets/ChatSnippets.swift
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// Copyright 2024 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 FirebaseCore
import FirebaseVertexAI
import XCTest

// These snippet tests are intentionally skipped in CI jobs; see the README file in this directory
// for instructions on running them manually.

@available(iOS 15.0, macOS 12.0, macCatalyst 15.0, tvOS 15.0, watchOS 8.0, *)
final class ChatSnippets: XCTestCase {
lazy var model = VertexAI.vertexAI().generativeModel(modelName: "gemini-1.5-flash")

override func setUpWithError() throws {
try FirebaseApp.configureDefaultAppForSnippets()
}

override func tearDown() async throws {
await FirebaseApp.deleteDefaultAppForSnippets()
}

func testChatNonStreaming() async throws {
// Optionally specify existing chat history
let history = [
ModelContent(role: "user", parts: "Hello, I have 2 dogs in my house."),
ModelContent(role: "model", parts: "Great to meet you. What would you like to know?"),
]

// Initialize the chat with optional chat history
let chat = model.startChat(history: history)

// To generate text output, call sendMessage and pass in the message
let response = try await chat.sendMessage("How many paws are in my house?")
print(response.text ?? "No text in response.")
}

func testChatStreaming() async throws {
// Optionally specify existing chat history
let history = [
ModelContent(role: "user", parts: "Hello, I have 2 dogs in my house."),
ModelContent(role: "model", parts: "Great to meet you. What would you like to know?"),
]

// Initialize the chat with optional chat history
let chat = model.startChat(history: history)

// To stream generated text output, call sendMessageStream and pass in the message
let contentStream = try chat.sendMessageStream("How many paws are in my house?")
for try await chunk in contentStream {
if let text = chunk.text {
print(text)
}
}
}
}
55 changes: 55 additions & 0 deletions FirebaseVertexAI/Tests/Unit/Snippets/TextSnippets.swift
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// Copyright 2024 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 FirebaseCore
import FirebaseVertexAI
import XCTest

// These snippet tests are intentionally skipped in CI jobs; see the README file in this directory
// for instructions on running them manually.

@available(iOS 15.0, macOS 12.0, macCatalyst 15.0, tvOS 15.0, watchOS 8.0, *)
final class TextSnippets: XCTestCase {
lazy var model = VertexAI.vertexAI().generativeModel(modelName: "gemini-1.5-flash")

override func setUpWithError() throws {
try FirebaseApp.configureDefaultAppForSnippets()
}

override func tearDown() async throws {
await FirebaseApp.deleteDefaultAppForSnippets()
}

func testTextOnlyNonStreaming() async throws {
// Provide a prompt that contains text
let prompt = "Write a story about a magic backpack."

// To generate text output, call generateContent with the text input
let response = try await model.generateContent(prompt)
print(response.text ?? "No text in response.")
}

func testTextOnlyStreaming() async throws {
// Provide a prompt that contains text
let prompt = "Write a story about a magic backpack."

// To stream generated text output, call generateContentStream with the text input
let contentStream = try model.generateContentStream(prompt)
for try await chunk in contentStream {
if let text = chunk.text {
print(text)
}
}
}
}
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