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| 1 | +import { type Client } from "gel"; |
| 2 | +import { createRAGClient } from "../dist/index.js"; |
| 3 | +import { getClient, waitFor, getAvailableExtensions } from "@repo/test-utils"; |
| 4 | +import { createMockHttpServer, type MockHttpServer } from "./mockHttpServer"; |
| 5 | + |
| 6 | +const availableExtensions = getAvailableExtensions(); |
| 7 | + |
| 8 | +if (availableExtensions.has("ai")) { |
| 9 | + let mockServer: MockHttpServer; |
| 10 | + |
| 11 | + beforeAll(async () => { |
| 12 | + // Start the mock server |
| 13 | + mockServer = createMockHttpServer(); |
| 14 | + |
| 15 | + const client = getClient(); |
| 16 | + await client.ensureConnected(); |
| 17 | + try { |
| 18 | + await client.execute(` |
| 19 | +create extension pgvector; |
| 20 | +create extension ai; |
| 21 | +
|
| 22 | +create type TestEmbeddingModel extending ext::ai::EmbeddingModel { |
| 23 | + alter annotation ext::ai::model_name := "text-embedding-test"; |
| 24 | + alter annotation ext::ai::model_provider := "custom::test"; |
| 25 | + alter annotation ext::ai::embedding_model_max_input_tokens := "8191"; |
| 26 | + alter annotation ext::ai::embedding_model_max_batch_tokens := "16384"; |
| 27 | + alter annotation ext::ai::embedding_model_max_output_dimensions := "10"; |
| 28 | + alter annotation ext::ai::embedding_model_supports_shortening := "true"; |
| 29 | +}; |
| 30 | +
|
| 31 | +create type TestTextGenerationModel extending ext::ai::TextGenerationModel { |
| 32 | + alter annotation ext::ai::model_name := "text-generation-test"; |
| 33 | + alter annotation ext::ai::model_provider := "custom::test"; |
| 34 | + alter annotation ext::ai::text_gen_model_context_window := "16385"; |
| 35 | +}; |
| 36 | +
|
| 37 | +create type Astronomy { |
| 38 | + create required property content: str; |
| 39 | +
|
| 40 | + create deferred index ext::ai::index(embedding_model := "text-embedding-test") on (.content); |
| 41 | +}; |
| 42 | +
|
| 43 | +configure current branch insert ext::ai::CustomProviderConfig { |
| 44 | + name := "custom::test", |
| 45 | + secret := "dummy-key", |
| 46 | + api_url := "${mockServer.url}/v1", |
| 47 | + api_style := ext::ai::ProviderAPIStyle.OpenAI, |
| 48 | +}; |
| 49 | +
|
| 50 | +configure current branch set ext::ai::Config::indexer_naptime := <duration>"100ms"; |
| 51 | + `); |
| 52 | + } finally { |
| 53 | + await client.close(); |
| 54 | + } |
| 55 | + }, 25_000); |
| 56 | + |
| 57 | + afterAll(async () => { |
| 58 | + // Stop the mock server |
| 59 | + if (mockServer) { |
| 60 | + await mockServer.close(); |
| 61 | + } |
| 62 | + }); |
| 63 | + |
| 64 | + describe("@gel/ai", () => { |
| 65 | + let client: Client; |
| 66 | + beforeEach(() => { |
| 67 | + mockServer.resetRequests(); |
| 68 | + }); |
| 69 | + |
| 70 | + afterEach(async () => { |
| 71 | + await client?.close(); |
| 72 | + }); |
| 73 | + |
| 74 | + test("RAG query", async () => { |
| 75 | + client = getClient({ |
| 76 | + tlsSecurity: "insecure", |
| 77 | + }); |
| 78 | + await client.execute(` |
| 79 | +insert Astronomy { content := 'Skies on Mars are red' }; |
| 80 | +insert Astronomy { content := 'Skies on Earth are blue' }; |
| 81 | + `); |
| 82 | + await waitFor(async () => |
| 83 | + expect(mockServer.getEmbeddingsRequests().length).toBe(1), |
| 84 | + ); |
| 85 | + |
| 86 | + const ragClient = createRAGClient(client, { |
| 87 | + model: "text-generation-test", |
| 88 | + }).withContext({ |
| 89 | + query: "select Astronomy", |
| 90 | + }); |
| 91 | + |
| 92 | + const result = await ragClient.queryRag({ |
| 93 | + prompt: "What color are the skies on Mars?", |
| 94 | + }); |
| 95 | + |
| 96 | + expect(result).toEqual("This is a mock response."); |
| 97 | + |
| 98 | + const streamedResult = ragClient.streamRag({ |
| 99 | + prompt: "What color are the skies on Mars?", |
| 100 | + }); |
| 101 | + |
| 102 | + let streamedResultString = ""; |
| 103 | + for await (const message of streamedResult) { |
| 104 | + if ( |
| 105 | + message.type === "content_block_start" && |
| 106 | + message.content_block.type === "text" |
| 107 | + ) { |
| 108 | + streamedResultString += message.content_block.text; |
| 109 | + } else if ( |
| 110 | + message.type === "content_block_delta" && |
| 111 | + message.delta.type === "text_delta" |
| 112 | + ) { |
| 113 | + streamedResultString += message.delta.text; |
| 114 | + } |
| 115 | + } |
| 116 | + |
| 117 | + expect(streamedResultString).toEqual("This is a mock response."); |
| 118 | + }, 25_000); |
| 119 | + |
| 120 | + test("embedding request", async () => { |
| 121 | + client = getClient({ |
| 122 | + tlsSecurity: "insecure", |
| 123 | + }); |
| 124 | + const ragClient = createRAGClient(client, { |
| 125 | + model: "text-generation-test", |
| 126 | + }); |
| 127 | + |
| 128 | + const result = await ragClient.generateEmbeddings({ |
| 129 | + inputs: ["beep boop!"], |
| 130 | + model: "text-embedding-test", |
| 131 | + }); |
| 132 | + |
| 133 | + await waitFor( |
| 134 | + async () => expect(mockServer.getEmbeddingsRequests().length).toBe(1), |
| 135 | + 10_000, |
| 136 | + 500, |
| 137 | + ); |
| 138 | + |
| 139 | + expect(result).toEqual( |
| 140 | + // The number of occurences of the first ten letters of the alphabet. |
| 141 | + // two 'b's and two 'e's. |
| 142 | + [0, 2, 0, 0, 2, 0, 0, 0, 0, 0], |
| 143 | + ); |
| 144 | + }); |
| 145 | + }); |
| 146 | +} |
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