| 1 | import * as AWS from "@/AWS"; |
| 2 | import * as Core from "@/Test/Core"; |
| 3 | import * as Test from "@/Test/Alchemy"; |
| 4 | import { describe, expect } from "alchemy-test"; |
| 5 | import * as Data from "effect/Data"; |
| 6 | import * as Effect from "effect/Effect"; |
| 7 | import * as Schedule from "effect/Schedule"; |
| 8 | import * as HttpClient from "effect/http/HttpClient"; |
| 9 | import * as HttpClientRequest from "effect/http/HttpClientRequest"; |
| 10 | import { HELLO_PNG_TEXT, TRANSLATE_TEXT } from "./constants.ts"; |
| 11 | import AICapabilitiesTestFunctionLive, { |
| 12 | AICapabilitiesTestFunction, |
| 13 | } from "./handler.ts"; |
| 14 | |
| 15 | const testOptions = { providers: AWS.providers() }; |
| 16 | const { test, beforeAll, afterAll } = Test.make(testOptions); |
| 17 | const sharedStack = Core.scratchStack(testOptions, "AICapabilitiesBindings"); |
| 18 | |
| 19 | // Lambda function URL cold-start (DNS, IAM propagation, init) can take well |
| 20 | // over 60s on a fresh deploy under parallel-suite load. Budget ~150s of |
| 21 | // readiness polling. |
| 22 | const readinessPolicy = Schedule.max([ |
| 23 | Schedule.fixed("2 seconds"), |
| 24 | Schedule.recurs(75), |
| 25 | ]); |
| 26 | |
| 27 | let baseUrl: string; |
| 28 | |
| 29 | class TransientUpstream extends Data.TaggedError("TransientUpstream")<{ |
| 30 | readonly status: number; |
| 31 | readonly body: string; |
| 32 | }> {} |
| 33 | |
| 34 | // The shared Lambda fixture occasionally answers a transient 5xx under |
| 35 | // parallel load (cold re-init, IAM propagation, upstream throttling surfaced |
| 36 | // as a defect). Retry 5xx only; a genuine 4xx/assertion failure surfaces |
| 37 | // immediately. |
| 38 | const send = (request: HttpClientRequest.HttpClientRequest) => |
| 39 | HttpClient.execute(request).pipe( |
| 40 | Effect.flatMap((response) => |
| 41 | response.status >= 500 |
| 42 | ? response.text.pipe( |
| 43 | Effect.flatMap((body) => |
| 44 | Effect.fail( |
| 45 | new TransientUpstream({ status: response.status, body }), |
| 46 | ), |
| 47 | ), |
| 48 | ) |
| 49 | : Effect.succeed(response), |
| 50 | ), |
| 51 | Effect.retry({ |
| 52 | while: (e) => e._tag === "TransientUpstream", |
| 53 | schedule: Schedule.max([ |
| 54 | Schedule.exponential("1 second"), |
| 55 | Schedule.recurs(5), |
| 56 | ]), |
| 57 | }), |
| 58 | ); |
| 59 | |
| 60 | describe( |
| 61 | "AI Capabilities Bindings", |
| 62 | { |
| 63 | tags: [ |
| 64 | "provider:aws", |
| 65 | "provider:aws:comprehend", |
| 66 | "provider:aws:lambda", |
| 67 | "provider:aws:polly", |
| 68 | "provider:aws:rekognition", |
| 69 | "provider:aws:textract", |
| 70 | "provider:aws:translate", |
| 71 | "live", |
| 72 | ], |
| 73 | }, |
| 74 | () => { |
| 75 | beforeAll( |
| 76 | Effect.gen(function* () { |
| 77 | yield* Effect.logInfo( |
| 78 | "AICapabilities test setup: destroying previous resources", |
| 79 | ); |
| 80 | yield* sharedStack.destroy(); |
| 81 | |
| 82 | yield* Effect.logInfo("AICapabilities test setup: deploying fixture"); |
| 83 | const { functionUrl } = yield* sharedStack.deploy( |
| 84 | Effect.gen(function* () { |
| 85 | return yield* AICapabilitiesTestFunction; |
| 86 | }).pipe(Effect.provide(AICapabilitiesTestFunctionLive)), |
| 87 | ); |
| 88 | |
| 89 | expect(functionUrl).toBeTruthy(); |
| 90 | baseUrl = functionUrl!.replace(/\/+$/, ""); |
| 91 | const readinessUrl = `${baseUrl}/ping`; |
| 92 | |
| 93 | yield* Effect.logInfo( |
| 94 | `AICapabilities test setup: probing readiness at ${readinessUrl}`, |
| 95 | ); |
| 96 | yield* HttpClient.get(readinessUrl).pipe( |
| 97 | Effect.flatMap((response) => |
| 98 | response.status === 200 |
| 99 | ? Effect.succeed(response) |
| 100 | : Effect.fail( |
| 101 | new Error(`Function not ready: ${response.status}`), |
| 102 | ), |
| 103 | ), |
| 104 | Effect.tapError((error) => |
| 105 | Effect.logWarning( |
| 106 | `AICapabilities test setup: fixture not ready yet (${String(error)})`, |
| 107 | ), |
| 108 | ), |
| 109 | Effect.retry({ schedule: readinessPolicy }), |
| 110 | ); |
| 111 | }), |
| 112 | { timeout: 240_000 }, |
| 113 | ); |
| 114 | |
| 115 | afterAll(sharedStack.destroy(), { timeout: 120_000 }); |
| 116 | |
| 117 | describe("Rekognition.DetectLabels", () => { |
| 118 | test.provider( |
| 119 | "detects labels in checked-in image bytes", |
| 120 | (_stack) => |
| 121 | Effect.gen(function* () { |
| 122 | const response = (yield* send( |
| 123 | HttpClientRequest.get(`${baseUrl}/detect-labels`), |
| 124 | ).pipe(Effect.flatMap((r) => r.json))) as { |
| 125 | labels: string[]; |
| 126 | labelModelVersion?: string; |
| 127 | }; |
| 128 | |
| 129 | expect(Array.isArray(response.labels)).toBe(true); |
| 130 | expect(response.labels.length).toBeGreaterThan(0); |
| 131 | // The fixture image is rendered text — Rekognition consistently |
| 132 | // labels it as textual content. |
| 133 | expect(response.labels).toContain("Text"); |
| 134 | }), |
| 135 | { timeout: 120_000 }, |
| 136 | ); |
| 137 | }); |
| 138 | |
| 139 | describe("Textract.DetectDocumentText", () => { |
| 140 | test.provider( |
| 141 | "detects the rendered text in checked-in document bytes", |
| 142 | (_stack) => |
| 143 | Effect.gen(function* () { |
| 144 | const response = (yield* send( |
| 145 | HttpClientRequest.get(`${baseUrl}/detect-document-text`), |
| 146 | ).pipe(Effect.flatMap((r) => r.json))) as { |
| 147 | lines: string[]; |
| 148 | pages?: number; |
| 149 | }; |
| 150 | |
| 151 | expect(response.pages).toBe(1); |
| 152 | expect(Array.isArray(response.lines)).toBe(true); |
| 153 | expect(response.lines).toContain(HELLO_PNG_TEXT); |
| 154 | }), |
| 155 | { timeout: 120_000 }, |
| 156 | ); |
| 157 | }); |
| 158 | |
| 159 | describe("Polly.SynthesizeSpeech", () => { |
| 160 | test.provider( |
| 161 | "synthesizes text to non-empty mp3 audio bytes", |
| 162 | (_stack) => |
| 163 | Effect.gen(function* () { |
| 164 | const response = (yield* send( |
| 165 | HttpClientRequest.get(`${baseUrl}/synthesize-speech`), |
| 166 | ).pipe(Effect.flatMap((r) => r.json))) as { |
| 167 | contentType?: string; |
| 168 | byteLength: number; |
| 169 | }; |
| 170 | |
| 171 | expect(response.contentType).toContain("audio/mpeg"); |
| 172 | expect(response.byteLength).toBeGreaterThan(1000); |
| 173 | }), |
| 174 | { timeout: 120_000 }, |
| 175 | ); |
| 176 | }); |
| 177 | |
| 178 | describe("Translate.TranslateText", () => { |
| 179 | test.provider( |
| 180 | "translates English to Spanish", |
| 181 | (_stack) => |
| 182 | Effect.gen(function* () { |
| 183 | const response = (yield* send( |
| 184 | HttpClientRequest.get(`${baseUrl}/translate-text`), |
| 185 | ).pipe(Effect.flatMap((r) => r.json))) as { |
| 186 | translatedText: string; |
| 187 | sourceLanguageCode: string; |
| 188 | targetLanguageCode: string; |
| 189 | }; |
| 190 | |
| 191 | expect(response.sourceLanguageCode).toBe("en"); |
| 192 | expect(response.targetLanguageCode).toBe("es"); |
| 193 | expect(response.translatedText.trim().length).toBeGreaterThan(0); |
| 194 | expect(response.translatedText).not.toBe(TRANSLATE_TEXT); |
| 195 | }), |
| 196 | { timeout: 120_000 }, |
| 197 | ); |
| 198 | }); |
| 199 | |
| 200 | describe("Comprehend.DetectSentiment", () => { |
| 201 | test.provider( |
| 202 | "detects positive sentiment", |
| 203 | (_stack) => |
| 204 | Effect.gen(function* () { |
| 205 | const response = (yield* send( |
| 206 | HttpClientRequest.get(`${baseUrl}/detect-sentiment`), |
| 207 | ).pipe(Effect.flatMap((r) => r.json))) as { |
| 208 | sentiment?: string; |
| 209 | sentimentScore?: { Positive?: number }; |
| 210 | }; |
| 211 | |
| 212 | expect(["POSITIVE", "NEGATIVE", "NEUTRAL", "MIXED"]).toContain( |
| 213 | response.sentiment, |
| 214 | ); |
| 215 | // SENTIMENT_TEXT is unambiguously positive. |
| 216 | expect(response.sentiment).toBe("POSITIVE"); |
| 217 | expect(response.sentimentScore?.Positive ?? 0).toBeGreaterThan(0.5); |
| 218 | }), |
| 219 | { timeout: 120_000 }, |
| 220 | ); |
| 221 | }); |
| 222 | }, |
| 223 | ); |