|
| 1 | +import { describe, it, expect, beforeEach, vi } from "vitest" |
| 2 | +import { OpenRouterEmbedder } from "../openrouter" |
| 3 | +import { getModelDimension, getDefaultModelId } from "../../../../shared/embeddingModels" |
| 4 | + |
| 5 | +// Mock global fetch |
| 6 | +const mockFetch = vi.fn() |
| 7 | +global.fetch = mockFetch |
| 8 | + |
| 9 | +describe("OpenRouterEmbedder", () => { |
| 10 | + const mockApiKey = "test-api-key" |
| 11 | + |
| 12 | + describe("constructor", () => { |
| 13 | + it("should create an instance with valid API key", () => { |
| 14 | + const embedder = new OpenRouterEmbedder(mockApiKey) |
| 15 | + expect(embedder).toBeInstanceOf(OpenRouterEmbedder) |
| 16 | + }) |
| 17 | + |
| 18 | + it("should throw error with empty API key", () => { |
| 19 | + expect(() => new OpenRouterEmbedder("")).toThrow("API key is required") |
| 20 | + }) |
| 21 | + |
| 22 | + it("should use default model when none specified", () => { |
| 23 | + const embedder = new OpenRouterEmbedder(mockApiKey) |
| 24 | + const expectedDefault = getDefaultModelId("openrouter") |
| 25 | + expect(embedder.embedderInfo.name).toBe("openrouter") |
| 26 | + }) |
| 27 | + |
| 28 | + it("should use custom model when specified", () => { |
| 29 | + const customModel = "openai/text-embedding-3-small" |
| 30 | + const embedder = new OpenRouterEmbedder(mockApiKey, customModel) |
| 31 | + expect(embedder.embedderInfo.name).toBe("openrouter") |
| 32 | + }) |
| 33 | + }) |
| 34 | + |
| 35 | + describe("embedderInfo", () => { |
| 36 | + it("should return correct embedder info", () => { |
| 37 | + const embedder = new OpenRouterEmbedder(mockApiKey) |
| 38 | + expect(embedder.embedderInfo).toEqual({ |
| 39 | + name: "openrouter", |
| 40 | + }) |
| 41 | + }) |
| 42 | + }) |
| 43 | + |
| 44 | + describe("createEmbeddings", () => { |
| 45 | + let embedder: OpenRouterEmbedder |
| 46 | + |
| 47 | + beforeEach(() => { |
| 48 | + embedder = new OpenRouterEmbedder(mockApiKey) |
| 49 | + mockFetch.mockClear() |
| 50 | + }) |
| 51 | + |
| 52 | + it("should create embeddings successfully", async () => { |
| 53 | + const mockResponse = { |
| 54 | + ok: true, |
| 55 | + json: vi.fn().mockResolvedValue({ |
| 56 | + data: [ |
| 57 | + { |
| 58 | + embedding: Buffer.from(new Float32Array([0.1, 0.2, 0.3]).buffer).toString("base64"), |
| 59 | + }, |
| 60 | + ], |
| 61 | + usage: { |
| 62 | + prompt_tokens: 5, |
| 63 | + total_tokens: 5, |
| 64 | + }, |
| 65 | + }), |
| 66 | + } |
| 67 | + |
| 68 | + mockFetch.mockResolvedValue(mockResponse) |
| 69 | + |
| 70 | + const result = await embedder.createEmbeddings(["test text"]) |
| 71 | + |
| 72 | + expect(result.embeddings).toHaveLength(1) |
| 73 | + expect(result.embeddings[0]).toEqual([0.1, 0.2, 0.3]) |
| 74 | + expect(result.usage?.promptTokens).toBe(5) |
| 75 | + expect(result.usage?.totalTokens).toBe(5) |
| 76 | + }) |
| 77 | + |
| 78 | + it("should handle multiple texts", async () => { |
| 79 | + const mockResponse = { |
| 80 | + ok: true, |
| 81 | + json: vi.fn().mockResolvedValue({ |
| 82 | + data: [ |
| 83 | + { |
| 84 | + embedding: Buffer.from(new Float32Array([0.1, 0.2]).buffer).toString("base64"), |
| 85 | + }, |
| 86 | + { |
| 87 | + embedding: Buffer.from(new Float32Array([0.3, 0.4]).buffer).toString("base64"), |
| 88 | + }, |
| 89 | + ], |
| 90 | + usage: { |
| 91 | + prompt_tokens: 10, |
| 92 | + total_tokens: 10, |
| 93 | + }, |
| 94 | + }), |
| 95 | + } |
| 96 | + |
| 97 | + mockFetch.mockResolvedValue(mockResponse) |
| 98 | + |
| 99 | + const result = await embedder.createEmbeddings(["text1", "text2"]) |
| 100 | + |
| 101 | + expect(result.embeddings).toHaveLength(2) |
| 102 | + expect(result.embeddings[0]).toEqual([0.1, 0.2]) |
| 103 | + expect(result.embeddings[1]).toEqual([0.3, 0.4]) |
| 104 | + }) |
| 105 | + |
| 106 | + it("should use custom model when provided", async () => { |
| 107 | + const customModel = "mistralai/mistral-embed-2312" |
| 108 | + const embedderWithCustomModel = new OpenRouterEmbedder(mockApiKey, customModel) |
| 109 | + |
| 110 | + const mockResponse = { |
| 111 | + ok: true, |
| 112 | + json: vi.fn().mockResolvedValue({ |
| 113 | + data: [ |
| 114 | + { |
| 115 | + embedding: Buffer.from(new Float32Array([0.1, 0.2]).buffer).toString("base64"), |
| 116 | + }, |
| 117 | + ], |
| 118 | + usage: { |
| 119 | + prompt_tokens: 5, |
| 120 | + total_tokens: 5, |
| 121 | + }, |
| 122 | + }), |
| 123 | + } |
| 124 | + |
| 125 | + mockFetch.mockResolvedValue(mockResponse) |
| 126 | + |
| 127 | + await embedderWithCustomModel.createEmbeddings(["test"]) |
| 128 | + |
| 129 | + // Verify the fetch was called with the custom model |
| 130 | + expect(mockFetch).toHaveBeenCalledWith( |
| 131 | + expect.stringContaining("openrouter.ai/api/v1/embeddings"), |
| 132 | + expect.objectContaining({ |
| 133 | + body: expect.stringContaining(`"model":"${customModel}"`), |
| 134 | + }), |
| 135 | + ) |
| 136 | + }) |
| 137 | + }) |
| 138 | + |
| 139 | + describe("validateConfiguration", () => { |
| 140 | + let embedder: OpenRouterEmbedder |
| 141 | + |
| 142 | + beforeEach(() => { |
| 143 | + embedder = new OpenRouterEmbedder(mockApiKey) |
| 144 | + mockFetch.mockClear() |
| 145 | + }) |
| 146 | + |
| 147 | + it("should validate configuration successfully", async () => { |
| 148 | + const mockResponse = { |
| 149 | + ok: true, |
| 150 | + json: vi.fn().mockResolvedValue({ |
| 151 | + data: [ |
| 152 | + { |
| 153 | + embedding: Buffer.from(new Float32Array([0.1, 0.2]).buffer).toString("base64"), |
| 154 | + }, |
| 155 | + ], |
| 156 | + }), |
| 157 | + } |
| 158 | + |
| 159 | + mockFetch.mockResolvedValue(mockResponse) |
| 160 | + |
| 161 | + const result = await embedder.validateConfiguration() |
| 162 | + |
| 163 | + expect(result.valid).toBe(true) |
| 164 | + expect(result.error).toBeUndefined() |
| 165 | + }) |
| 166 | + |
| 167 | + it("should handle validation failure", async () => { |
| 168 | + const mockResponse = { |
| 169 | + ok: false, |
| 170 | + status: 401, |
| 171 | + text: vi.fn().mockResolvedValue("Unauthorized"), |
| 172 | + } |
| 173 | + |
| 174 | + mockFetch.mockResolvedValue(mockResponse) |
| 175 | + |
| 176 | + const result = await embedder.validateConfiguration() |
| 177 | + |
| 178 | + expect(result.valid).toBe(false) |
| 179 | + expect(result.error).toBeDefined() |
| 180 | + }) |
| 181 | + }) |
| 182 | + |
| 183 | + describe("integration with shared models", () => { |
| 184 | + it("should work with defined OpenRouter models", () => { |
| 185 | + const openRouterModels = [ |
| 186 | + "openai/text-embedding-3-small", |
| 187 | + "openai/text-embedding-3-large", |
| 188 | + "openai/text-embedding-ada-002", |
| 189 | + "google/gemini-embedding-001", |
| 190 | + "mistralai/mistral-embed-2312", |
| 191 | + "mistralai/codestral-embed-2505", |
| 192 | + "qwen/qwen3-embedding-8b", |
| 193 | + ] |
| 194 | + |
| 195 | + openRouterModels.forEach((model) => { |
| 196 | + const dimension = getModelDimension("openrouter", model) |
| 197 | + expect(dimension).toBeDefined() |
| 198 | + expect(dimension).toBeGreaterThan(0) |
| 199 | + |
| 200 | + const embedder = new OpenRouterEmbedder(mockApiKey, model) |
| 201 | + expect(embedder.embedderInfo.name).toBe("openrouter") |
| 202 | + }) |
| 203 | + }) |
| 204 | + |
| 205 | + it("should use correct default model", () => { |
| 206 | + const defaultModel = getDefaultModelId("openrouter") |
| 207 | + expect(defaultModel).toBe("openai/text-embedding-3-large") |
| 208 | + |
| 209 | + const dimension = getModelDimension("openrouter", defaultModel) |
| 210 | + expect(dimension).toBe(3072) |
| 211 | + }) |
| 212 | + }) |
| 213 | +}) |
0 commit comments