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api_client_test.ts
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1925 lines (1836 loc) · 68.3 KB
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/**
* @license
* Copyright 2025 Google LLC
* SPDX-License-Identifier: Apache-2.0
*/
import {Readable} from 'stream';
import {
ApiClient,
includeExtraBodyToRequestInit,
} from '../../src/_api_client.js';
import {CrossDownloader} from '../../src/cross/_cross_downloader.js';
import {CrossUploader} from '../../src/cross/_cross_uploader.js';
import * as types from '../../src/types.js';
import {FakeAuth} from '../_fake_auth.js';
import {Agent, type RequestInit as UndiciRequestInit } from 'undici';
const fetchOkOptions = {
status: 200,
statusText: 'OK',
ok: true,
headers: {'Content-Type': 'application/json'},
url: 'some-url',
};
const fetch500Options = {
status: 500,
statusText: 'Internal Server Error',
ok: false,
headers: {'Content-Type': 'application/json'},
url: 'some-url',
};
const fetch400Options = {
status: 400,
statusText: 'Bad Request',
ok: false,
headers: {'Content-Type': 'application/json'},
url: 'some-url',
};
const mockGenerateContentResponse: types.GenerateContentResponse =
Object.setPrototypeOf(
{
candidates: [
{
content: {
parts: [
{
text: 'The',
},
],
role: 'model',
},
finishReason: types.FinishReason.STOP,
index: 0,
},
],
usageMetadata: {
promptTokenCount: 8,
candidatesTokenCount: 1,
totalTokenCount: 9,
},
},
types.GenerateContentResponse.prototype,
);
describe('processStreamResponse', () => {
const apiClient = new ApiClient({
auth: new FakeAuth(),
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
it('should throw an error if the chunk does not start with the data prefix', async () => {
const invalidChunk = 'invalid chunk';
const stream = new Readable();
stream.push(invalidChunk);
stream.push(null); // signal end of stream
const readableStream = new ReadableStream({
start(controller) {
stream.on('data', (chunk) => controller.enqueue(chunk));
stream.on('end', () => controller.close());
stream.on('error', (err) => controller.error(err));
},
});
const response = new Response(readableStream);
const generator = apiClient.processStreamResponse(response);
await expectAsync(generator.next()).toBeRejectedWithError(
'Incomplete JSON segment at the end',
);
});
it('should throw an error if the chunk cannot be parsed as JSON', async () => {
const invalidChunk = 'data: invalid chunk';
const stream = new Readable();
stream.push(invalidChunk);
stream.push(null); // signal end of stream
const readableStream = new ReadableStream({
start(controller) {
stream.on('data', (chunk) => controller.enqueue(chunk));
stream.on('end', () => controller.close());
stream.on('error', (err) => controller.error(err));
},
});
const response = new Response(readableStream);
const generator = apiClient.processStreamResponse(response);
await expectAsync(generator.next()).toBeRejectedWithError(
'Incomplete JSON segment at the end',
);
});
it('should throw an error if encountering an error while parsing the chunk', async () => {
const validChunk =
'data: {"candidates": [{"content": {"parts": [{"text": "The"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\n\n';
const invalidChunk =
'{"error": {"code": 500, "message": "Internal error", "status": "INTERNAL"}}';
const stream = new Readable();
stream.push(validChunk);
stream.push(invalidChunk);
stream.push(null); // signal end of stream
const readableStream = new ReadableStream({
start(controller) {
stream.on('data', (chunk) => controller.enqueue(chunk));
stream.on('end', () => controller.close());
stream.on('error', (err) => controller.error(err));
},
});
const response = new Response(readableStream);
const expectedResponse = {
candidates: [
{
content: {
parts: [
{
text: 'The',
},
],
role: 'model',
},
finishReason: 'STOP' as types.FinishReason,
index: 0,
},
],
usageMetadata: {
promptTokenCount: 8,
candidatesTokenCount: 1,
totalTokenCount: 9,
},
};
const generator = apiClient.processStreamResponse(response);
const resultHttpResponse = await generator.next();
const result = await resultHttpResponse.value.json();
expect(result).toEqual(expectedResponse);
await expectAsync(generator.next()).toBeRejectedWithError(
'got status: INTERNAL. {"error":{"code":500,"message":"Internal error","status":"INTERNAL"}}',
);
});
it('should yield the json chunk data', async () => {
const validChunk1 =
'data: {"candidates": [{"content": {"parts": [{"text": "The"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\n\n';
const validChunk2 =
'data: {"candidates": [{"content": {"parts": [{"text": "The"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\r\r';
const validChunk3 =
'data: {"candidates": [{"content": {"parts": [{"text": "The"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\r\n\r\n';
const validChunks = [validChunk1, validChunk2, validChunk3];
for (const validChunk of validChunks) {
const stream = new Readable();
stream.push(validChunk);
stream.push(null); // signal end of stream
const readableStream = new ReadableStream({
start(controller) {
stream.on('data', (chunk) => controller.enqueue(chunk));
stream.on('end', () => controller.close());
stream.on('error', (err) => controller.error(err));
},
});
const response = new Response(readableStream);
const expectedResponse = {
candidates: [
{
content: {
parts: [
{
text: 'The',
},
],
role: 'model',
},
finishReason: 'STOP' as types.FinishReason,
index: 0,
},
],
usageMetadata: {
promptTokenCount: 8,
candidatesTokenCount: 1,
totalTokenCount: 9,
},
};
const generator = apiClient.processStreamResponse(response);
const resultHttpResponse = await generator.next();
const result = await resultHttpResponse.value.json();
expect(result).toEqual(expectedResponse);
}
});
it('should yield all expected chunks', async () => {
const chunk1 =
'data: {"candidates": [{"content": {"parts": [{"text": "One"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\n\n';
const chunk2 =
'data: {"candidates": [{"content": {"parts": [{"text": "Two"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\r\r';
const chunk3 =
'data: {"candidates": [{"content": {"parts": [{"text": "Three"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\r\n\r\n';
const chunks = [chunk1, chunk2, chunk3];
const stream = new Readable();
for (const chunk of chunks) {
stream.push(chunk);
}
stream.push(null); // signal end of stream
const readableStream = new ReadableStream({
start(controller) {
stream.on('data', (chunk) => controller.enqueue(chunk));
stream.on('end', () => controller.close());
stream.on('error', (err) => controller.error(err));
},
});
const response = new Response(readableStream);
const streamResponse = await apiClient.processStreamResponse(response);
let count = 0;
const expectedText = ['One', 'Two', 'Three'];
for await (const jsonChunk of streamResponse) {
const typedChunk = new types.GenerateContentResponse();
const jsonChunkData = await jsonChunk.json();
Object.assign(typedChunk, jsonChunkData);
expect(typedChunk.text).toEqual(expectedText[count]);
count++;
}
expect(count).toEqual(3);
});
it('should yield all expected chunks with leading whitespace', async () => {
const chunk1 =
'\n\ndata: {"candidates": [{"content": {"parts": [{"text": "One"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\n\n';
const chunk2 =
'\r\rdata: {"candidates": [{"content": {"parts": [{"text": "Two"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\r\r';
const chunk3 =
'\r\n\r\ndata: {"candidates": [{"content": {"parts": [{"text": "Three"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\r\n\r\n';
const chunks = [chunk1, chunk2, chunk3];
const stream = new Readable();
for (const chunk of chunks) {
stream.push(chunk);
}
stream.push(null); // signal end of stream
const readableStream = new ReadableStream({
start(controller) {
stream.on('data', (chunk) => controller.enqueue(chunk));
stream.on('end', () => controller.close());
stream.on('error', (err) => controller.error(err));
},
});
const response = new Response(readableStream);
const streamResponse = await apiClient.processStreamResponse(response);
let count = 0;
const expectedText = ['One', 'Two', 'Three'];
for await (const jsonChunk of streamResponse) {
const typedChunk = new types.GenerateContentResponse();
const jsonChunkData = await jsonChunk.json();
Object.assign(typedChunk, jsonChunkData);
expect(typedChunk.text).toEqual(expectedText[count]);
count++;
}
expect(count).toEqual(3);
});
it('should yield valid json split into multiple chunk data', async () => {
const validChunk1 =
'data: {"candidates": [{"content": {"parts": [{"text": "The"}],"role": "model"},"finishReason": "STOP","index": 0}],';
const validChunk2 =
'"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\n\n';
const stream = new Readable();
stream.push(validChunk1);
stream.push(validChunk2);
stream.push(null); // signal end of stream
const readableStream = new ReadableStream({
start(controller) {
stream.on('data', (chunk) => controller.enqueue(chunk));
stream.on('end', () => controller.close());
stream.on('error', (err) => controller.error(err));
},
});
const response = new Response(readableStream);
const expectedResponse = {
candidates: [
{
content: {
parts: [
{
text: 'The',
},
],
role: 'model',
},
finishReason: types.FinishReason.STOP,
index: 0,
},
],
usageMetadata: {
promptTokenCount: 8,
candidatesTokenCount: 1,
totalTokenCount: 9,
},
};
const generator = apiClient.processStreamResponse(response);
const resultHttpResponse = await generator.next();
const result = await resultHttpResponse.value.json();
expect(result).toEqual(expectedResponse);
});
it('should yield valid json split into multiple chunk data at the middle of multi-byte character', async () => {
const encoder = new TextEncoder();
const fullData = new Uint8Array([
0xe3, 0x81, 0x93, 0xe3, 0x82, 0x93, 0xe3, 0x81, 0xab, 0xe3, 0x81, 0xa1,
0xe3, 0x81, 0xaf, 0xf0, 0x9f, 0x98, 0x8a,
]);
const validChunkHead = encoder.encode(
'data: {"candidates": [{"content": {"parts": [{"text": "',
);
const validChunkTail = encoder.encode(
'"}],"role": "model"},"finishReason": "STOP","index": 0}],"usageMetadata": {"promptTokenCount": 8,"candidatesTokenCount": 1,"totalTokenCount": 9}}\n\n',
);
const validChunkHeadMultibytes = fullData.slice(0, 16);
const validChunkTailMultibytes = fullData.slice(16);
const stream = new Readable();
stream.push(Uint8Array.of(...validChunkHead, ...validChunkHeadMultibytes));
stream.push(Uint8Array.of(...validChunkTailMultibytes, ...validChunkTail));
stream.push(null); // signal end of stream
const readableStream = new ReadableStream({
start(controller) {
stream.on('data', (chunk) => controller.enqueue(chunk));
stream.on('end', () => controller.close());
stream.on('error', (err) => controller.error(err));
},
});
const response = new Response(readableStream);
const expectedResponse = {
candidates: [
{
content: {
parts: [
{
text: 'こんにちは😊',
},
],
role: 'model',
},
finishReason: types.FinishReason.STOP,
index: 0,
},
],
usageMetadata: {
promptTokenCount: 8,
candidatesTokenCount: 1,
totalTokenCount: 9,
},
};
const generator = apiClient.processStreamResponse(response);
const resultHttpResponse = await generator.next();
const result = await resultHttpResponse.value.json();
expect(result).toEqual(expectedResponse);
});
});
describe('ApiClient', () => {
describe('constructor', () => {
it('should initialize with provided values', () => {
const client = new ApiClient({
auth: new FakeAuth(),
project: 'project-from-opts',
location: 'location-from-opts',
apiKey: 'apikey-from-opts',
vertexai: false,
apiVersion: 'v1beta',
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.isVertexAI()).toBe(false);
expect(client.getProject()).toBe('project-from-opts');
expect(client.getLocation()).toBe('location-from-opts');
expect(client.getApiKey()).toBe('apikey-from-opts');
expect(client.getRequestUrl()).toBe(
'https://generativelanguage.googleapis.com/v1beta',
);
expect(client.getApiVersion()).toBe('v1beta');
});
it('should initialize with Vertex AI if specified', () => {
const client = new ApiClient({
auth: new FakeAuth(),
project: 'vertex-project',
location: 'vertex-location',
vertexai: true,
apiVersion: 'v1beta1',
apiKey: 'apikey-from-opts',
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.isVertexAI()).toBe(true);
expect(client.getProject()).toBe('vertex-project');
expect(client.getLocation()).toBe('vertex-location');
expect(client.getApiKey()).toBeUndefined(); // API key is ignored when setting opts.vertexai
expect(client.getRequestUrl()).toBe(
'https://vertex-location-aiplatform.googleapis.com/v1beta1',
);
expect(client.getApiVersion()).toBe('v1beta1');
});
it('should not have api key if project/location is provided for vertexai', () => {
const client = new ApiClient({
auth: new FakeAuth(),
project: 'vertex-project',
location: 'vertex-location',
vertexai: true,
apiVersion: 'v1beta1',
apiKey: 'apikey-from-opts',
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.isVertexAI()).toBe(true);
expect(client.getProject()).toBe('vertex-project');
expect(client.getLocation()).toBe('vertex-location');
expect(client.getApiKey()).toBeUndefined();
expect(client.getRequestUrl()).toBe(
'https://vertex-location-aiplatform.googleapis.com/v1beta1',
);
expect(client.getApiVersion()).toBe('v1beta1');
});
it('should use default value if not provided', () => {
const client = new ApiClient({
auth: new FakeAuth(),
project: 'env-project',
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
// baseUrl is based on apiVersion
expect(client.getRequestUrl()).toContain('/v1');
expect(client.isVertexAI()).toBeFalse();
});
it('should set websocket protocol to ws when base URL is http', () => {
const client = new ApiClient({
auth: new FakeAuth(),
project: 'project-from-opts',
location: 'location-from-opts',
apiKey: 'apikey-from-opts',
vertexai: false,
apiVersion: 'v1beta',
httpOptions: {
baseUrl: 'http://custom-base-url.googleapis.com',
},
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.getWebsocketBaseUrl()).toBe(
'ws://custom-base-url.googleapis.com/',
);
});
it('should set websocket protocol to wss when base URL is https', () => {
const client = new ApiClient({
auth: new FakeAuth(),
project: 'project-from-opts',
location: 'location-from-opts',
apiKey: 'apikey-from-opts',
vertexai: false,
apiVersion: 'v1beta',
httpOptions: {
baseUrl: 'https://custom-base-url.googleapis.com',
},
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.getWebsocketBaseUrl()).toBe(
'wss://custom-base-url.googleapis.com/',
);
});
it('should override base URL with provided values', () => {
const client = new ApiClient({
auth: new FakeAuth(),
project: 'project-from-opts',
location: 'location-from-opts',
apiKey: 'apikey-from-opts',
vertexai: false,
apiVersion: 'v1beta',
httpOptions: {
baseUrl: 'https://custom-base-url.googleapis.com',
},
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.isVertexAI()).toBe(false);
expect(client.getProject()).toBe('project-from-opts');
expect(client.getLocation()).toBe('location-from-opts');
expect(client.getApiKey()).toBe('apikey-from-opts');
expect(client.getRequestUrl()).toBe(
'https://custom-base-url.googleapis.com/v1beta',
);
expect(client.getWebsocketBaseUrl()).toBe(
'wss://custom-base-url.googleapis.com/',
);
expect(client.getApiVersion()).toBe('v1beta');
});
it('should override API version with provided values', () => {
const client = new ApiClient({
auth: new FakeAuth(),
project: 'project-from-opts',
location: 'location-from-opts',
apiKey: 'apikey-from-opts',
vertexai: false,
apiVersion: 'v1beta',
httpOptions: {
apiVersion: 'v1',
},
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.isVertexAI()).toBe(false);
expect(client.getProject()).toBe('project-from-opts');
expect(client.getLocation()).toBe('location-from-opts');
expect(client.getApiKey()).toBe('apikey-from-opts');
expect(client.getRequestUrl()).toBe(
'https://generativelanguage.googleapis.com/v1',
);
expect(client.getWebsocketBaseUrl()).toBe(
'wss://generativelanguage.googleapis.com/',
);
expect(client.getApiVersion()).toBe('v1');
});
it('should return default HTTP headers', () => {
const client = new ApiClient({
auth: new FakeAuth(),
project: 'vertex-project',
location: 'vertex-location',
vertexai: true,
apiVersion: 'v1beta1',
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.isVertexAI()).toBe(true);
expect(client.getProject()).toBe('vertex-project');
expect(client.getLocation()).toBe('vertex-location');
expect(client.getApiKey()).toBeUndefined(); // API key is ignored when setting opts.vertexai
expect(client.getRequestUrl()).toBe(
'https://vertex-location-aiplatform.googleapis.com/v1beta1',
);
const headers = client.getHeaders();
expect(headers['Content-Type']).toBe('application/json');
expect(headers['User-Agent']).toContain('google-genai-sdk/');
expect(headers['x-goog-api-client']).toContain('google-genai-sdk/');
expect(client.getApiVersion()).toBe('v1beta1');
});
it('should append HTTP headers with duplicate keys', () => {
const httpOptions: types.HttpOptions = {
headers: {
'google-custom-header': 'custom-value',
'Content-Type': 'text/plain',
},
};
const client = new ApiClient({
auth: new FakeAuth(),
project: 'project-from-opts',
location: 'location-from-opts',
vertexai: false,
apiVersion: 'v1beta',
httpOptions: httpOptions,
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.isVertexAI()).toBe(false);
expect(client.getProject()).toBe('project-from-opts');
expect(client.getLocation()).toBe('location-from-opts');
expect(client.getRequestUrl()).toBe(
'https://generativelanguage.googleapis.com/v1beta',
);
const headers = client.getHeaders();
expect(headers['Content-Type']).toBe('text/plain');
expect(headers['User-Agent']).toContain('google-genai-sdk/');
expect(headers['x-goog-api-client']).toContain('google-genai-sdk/');
expect(headers['google-custom-header']).toBe('custom-value');
expect(client.getApiVersion()).toBe('v1beta');
});
it('should append default HTTP headers with provided values MLDev', () => {
const httpOptions: types.HttpOptions = {
headers: {
'x-goog-api-key': 'apikey-from-user',
},
};
const client = new ApiClient({
auth: new FakeAuth(),
project: 'project-from-opts',
location: 'location-from-opts',
apiKey: 'apikey-from-opts',
vertexai: false,
apiVersion: 'v1beta',
httpOptions: httpOptions,
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.isVertexAI()).toBe(false);
expect(client.getProject()).toBe('project-from-opts');
expect(client.getLocation()).toBe('location-from-opts');
expect(client.getApiKey()).toBe('apikey-from-opts');
expect(client.getRequestUrl()).toBe(
'https://generativelanguage.googleapis.com/v1beta',
);
const headers = client.getHeaders();
expect(headers['Content-Type']).toBe('application/json');
expect(headers['x-goog-api-key']).toBe('apikey-from-user');
expect(headers['User-Agent']).toContain('google-genai-sdk/');
expect(headers['x-goog-api-client']).toContain('google-genai-sdk/');
expect(client.getApiVersion()).toBe('v1beta');
});
it('should append default HTTP headers with provided values Vertex', () => {
const httpOptions: types.HttpOptions = {
headers: {
Authorization: 'User Token',
},
};
const client = new ApiClient({
auth: new FakeAuth(),
project: 'vertex-project',
location: 'vertex-location',
vertexai: true,
apiVersion: 'v1beta1',
httpOptions: httpOptions,
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
expect(client.isVertexAI()).toBe(true);
expect(client.getProject()).toBe('vertex-project');
expect(client.getLocation()).toBe('vertex-location');
expect(client.getApiKey()).toBeUndefined(); // API key is ignored when setting opts.vertexai
expect(client.getRequestUrl()).toBe(
'https://vertex-location-aiplatform.googleapis.com/v1beta1',
);
const headers = client.getHeaders();
expect(headers['Content-Type']).toBe('application/json');
expect(headers['Authorization']).toBe('User Token');
expect(headers['User-Agent']).toContain('google-genai-sdk/');
expect(headers['x-goog-api-client']).toContain('google-genai-sdk/');
expect(client.getApiVersion()).toBe('v1beta1');
});
});
describe('post/get methods', () => {
it('should prepend base resource path if vertexai is true and path does not start with "projects/"', async () => {
const client = new ApiClient({
auth: new FakeAuth(),
vertexai: true,
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
spyOn(client, 'getBaseResourcePath').and.returnValue(
'base-resource-path',
);
spyOn(global, 'fetch').and.returnValue(
Promise.resolve(
new Response(
JSON.stringify(mockGenerateContentResponse),
fetchOkOptions,
),
),
);
await client.request({
path: 'test-path',
body: JSON.stringify({data: 'test'}),
httpMethod: 'POST',
});
expect(client.getBaseResourcePath).toHaveBeenCalled();
});
it('should append query parameters to URL', async () => {
const client = new ApiClient({
auth: new FakeAuth('test-api-key'),
apiKey: 'test-api-key',
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
const queryParams: Record<string, string> = {
'param1': 'value1',
'param2': 'value2',
};
spyOn(global, 'fetch').and.returnValue(
Promise.resolve(
new Response(
JSON.stringify(mockGenerateContentResponse),
fetchOkOptions,
),
),
);
await client.request({
path: 'test-path',
queryParams: queryParams,
httpMethod: 'GET',
});
expect(global.fetch).toHaveBeenCalledWith(
jasmine.stringMatching(/param1=value1¶m2=value2/),
jasmine.any(Object),
);
});
it('should throw an error if request body is not empty for GET request', async () => {
const client = new ApiClient({
auth: new FakeAuth('test-api-key'),
apiKey: 'test-api-key',
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
await client
.request({
path: 'test-path',
body: JSON.stringify({data: 'test'}),
httpMethod: 'GET',
})
.catch((e) => {
expect(e.message).toEqual(
'Request body should be empty for GET request, but got non empty request body',
);
});
});
it('should include AbortSignal when timeout is set', async () => {
const client = new ApiClient({
auth: new FakeAuth('test-api-key'),
apiKey: 'test-api-key',
httpOptions: {timeout: 1000},
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
const fetchSpy = spyOn(global, 'fetch').and.returnValue(
Promise.resolve(
new Response(
JSON.stringify(mockGenerateContentResponse),
fetchOkOptions,
),
),
);
await client.request({path: 'test-path', httpMethod: 'POST'});
const fetchArgs = fetchSpy.calls.allArgs();
// @ts-expect-error TS2532: Object is possibly 'undefined'.
expect(fetchArgs[0][1].signal instanceof AbortSignal).toBeTrue();
// @ts-expect-error TS2532: Object is possibly 'undefined'.
expect(fetchArgs[0][1].signal.aborted).toBeFalse();
});
it('should include AbortSignal when AbortSignal is set from request', async () => {
const externalAbortController = new AbortController();
const client = new ApiClient({
auth: new FakeAuth('test-api-key'),
apiKey: 'test-api-key',
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
const fetchSpy = spyOn(global, 'fetch').and.returnValue(
Promise.resolve(
new Response(
JSON.stringify(mockGenerateContentResponse),
fetchOkOptions,
),
),
);
await client.request({
path: 'test-path',
httpMethod: 'POST',
abortSignal: externalAbortController.signal,
});
externalAbortController.abort();
const fetchArgs = fetchSpy.calls.allArgs();
// @ts-expect-error TS2532: Object is possibly 'undefined'.
expect(fetchArgs[0][1].signal instanceof AbortSignal).toBeTrue();
// @ts-expect-error TS2532: Object is possibly 'undefined'.
expect(fetchArgs[0][1].signal.aborted).toBeTrue();
});
it('should set dispatcher with timeouts in Node.js', async () => {
const client = new ApiClient({
auth: new FakeAuth('test-api-key'),
apiKey: 'test-api-key',
httpOptions: {timeout: 1000},
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
const fetchSpy = spyOn(global, 'fetch').and.returnValue(
Promise.resolve(
new Response(
JSON.stringify(mockGenerateContentResponse),
fetchOkOptions,
),
),
);
await client.request({path: 'test-path', httpMethod: 'POST'});
const fetchArgs = fetchSpy.calls.first().args;
const requestInit = fetchArgs[1] as UndiciRequestInit;
expect(requestInit.dispatcher).toBeDefined();
expect(requestInit.dispatcher).toBeInstanceOf(Agent);
});
it('should apply requestHttpOptions when provided', async () => {
const client = new ApiClient({
auth: new FakeAuth('test-api-key'),
apiKey: 'test-api-key',
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
const queryParams: Record<string, string> = {
'param1': 'value1',
'param2': 'value2',
};
const fetchSpy = spyOn(global, 'fetch').and.returnValue(
Promise.resolve(
new Response(
JSON.stringify(mockGenerateContentResponse),
fetchOkOptions,
),
),
);
const mockTimer = jasmine.createSpyObj('timeout', ['unref']);
const timeoutSpy = spyOn(global, 'setTimeout').and.returnValue(mockTimer);
await client.request({
path: 'test-path',
queryParams: queryParams,
httpMethod: 'GET',
httpOptions: {
baseUrl: 'https://custom-request-base-url.googleapis.com',
apiVersion: 'v1alpha',
timeout: 1001,
headers: {'google-custom-header': 'custom-header-value'},
},
});
const fetchArgs = fetchSpy.calls.first().args;
const requestInit = fetchArgs[1] as RequestInit;
const headers = requestInit.headers as Headers;
const timeoutArgs = timeoutSpy.calls.first().args;
expect(headers.get('Content-Type')).toBe('application/json');
expect(headers.get('x-goog-api-key')).toBe('test-api-key');
expect(headers.get('User-Agent')).toContain('google-genai-sdk/');
expect(headers.get('x-goog-api-client')).toContain('google-genai-sdk/');
expect(headers.get('google-custom-header')).toBe('custom-header-value');
expect(timeoutArgs[1]).toEqual(1001);
expect(headers.get('X-Server-Timeout')).toBe('2'); // Rounds up to 2s.
expect(fetchArgs[0]).toEqual(
'https://custom-request-base-url.googleapis.com/v1alpha/test-path?param1=value1¶m2=value2',
);
expect(mockTimer.unref).toHaveBeenCalled();
});
it('should set bearer token for vertexai', async () => {
const client = new ApiClient({
auth: new FakeAuth(),
apiKey: 'test-api-key',
vertexai: true,
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
const queryParams: Record<string, string> = {
'param1': 'value1',
'param2': 'value2',
};
const fetchSpy = spyOn(global, 'fetch').and.returnValue(
Promise.resolve(
new Response(
JSON.stringify(mockGenerateContentResponse),
fetchOkOptions,
),
),
);
await client.request({
path: 'test-path',
queryParams: queryParams,
httpMethod: 'GET',
});
const fetchArgs = fetchSpy.calls.first().args;
const requestInit = fetchArgs[1] as RequestInit;
const headers = requestInit.headers as Headers;
expect(headers.get('Content-Type')).toBe('application/json');
expect(headers.get('Authorization')).toBe('Bearer token');
expect(headers.get('User-Agent')).toContain('google-genai-sdk/');
expect(headers.get('x-goog-api-client')).toContain('google-genai-sdk/');
});
it('should merge request http options and client http options', async () => {
const client = new ApiClient({
auth: new FakeAuth('test-api-key'),
apiKey: 'test-api-key',
httpOptions: {
baseUrl: 'https://custom-client-base-url.googleapis.com',
},
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
const queryParams: Record<string, string> = {
'param1': 'value1',
'param2': 'value2',
};
const fetchSpy = spyOn(global, 'fetch').and.returnValue(
Promise.resolve(
new Response(
JSON.stringify(mockGenerateContentResponse),
fetchOkOptions,
),
),
);
const timeoutSpy = spyOn(global, 'setTimeout');
await client.request({
path: 'test-path',
queryParams: queryParams,
httpMethod: 'GET',
httpOptions: {
headers: {'google-custom-header': 'custom-header-value'},
timeout: 1001,
apiVersion: 'v1alpha',
},
});
const fetchArgs = fetchSpy.calls.first().args;
const requestInit = fetchArgs[1] as RequestInit;
const headers = requestInit.headers as Headers;
expect(headers.get('Content-Type')).toBe('application/json');
expect(headers.get('x-goog-api-key')).toBe('test-api-key');
expect(headers.get('User-Agent')).toContain('google-genai-sdk/');
expect(headers.get('x-goog-api-client')).toContain('google-genai-sdk/');
expect(headers.get('google-custom-header')).toBe('custom-header-value');
const timeoutArgs = timeoutSpy.calls.first().args;
expect(timeoutArgs[1]).toEqual(1001);
expect(fetchArgs[0]).toEqual(
'https://custom-client-base-url.googleapis.com/v1alpha/test-path?param1=value1¶m2=value2',
);
});
it('should not override the client http options permanently', async () => {
const client = new ApiClient({
auth: new FakeAuth('test-api-key'),
apiKey: 'test-api-key',
httpOptions: {
baseUrl: 'https://custom-client-base-url.googleapis.com',
apiVersion: 'v1beta1',
timeout: 1000,
headers: {'google-custom-header': 'custom-header-value'},
},
uploader: new CrossUploader(),
downloader: new CrossDownloader(),
});
const queryParams: Record<string, string> = {
'param1': 'value1',
'param2': 'value2',
};
const fetchSpy = spyOn(global, 'fetch').and.returnValues(
Promise.resolve(
new Response(
JSON.stringify(mockGenerateContentResponse),
fetchOkOptions,
),
),
Promise.resolve(
new Response(
JSON.stringify(mockGenerateContentResponse),
fetchOkOptions,
),
),
);