| 1 | import { GcpEnvironment } from "@/GCP/Environment"; |
| 2 | import * as GCP from "@/GCP"; |
| 3 | import { quotaTolerant } from "./parent.ts"; |
| 4 | import * as Test from "@/Test/Alchemy"; |
| 5 | import * as discoveryengine from "@distilled.cloud/gcp/discoveryengine_v1"; |
| 6 | import { expect } from "alchemy-test"; |
| 7 | import * as Effect from "effect/Effect"; |
| 8 | import { MinimumLogLevel } from "effect/References"; |
| 9 | import * as Schedule from "effect/Schedule"; |
| 10 | |
| 11 | const { test } = Test.make({ providers: GCP.providers() }); |
| 12 | |
| 13 | const logLevel = Effect.provideService( |
| 14 | MinimumLogLevel, |
| 15 | process.env.DEBUG ? "Debug" : "Info", |
| 16 | ); |
| 17 | |
| 18 | // Conversations need the Large Language Model add-on (BadRequest "This |
| 19 | // feature is only available when Large Language Model add-on is enabled."). |
| 20 | // Set GCP_TEST_DISCOVERYENGINE_LLM=1 on a project with the add-on. |
| 21 | const runLifecycle = |
| 22 | !process.env.FAST && !!process.env.GCP_TEST_DISCOVERYENGINE_LLM; |
| 23 | |
| 24 | const waitUntilGone = (name: string) => |
| 25 | discoveryengine |
| 26 | .getProjectsLocationsCollectionsEnginesConversations({ name }) |
| 27 | .pipe( |
| 28 | Effect.as("found" as const), |
| 29 | Effect.catchTag("NotFound", () => Effect.succeed("gone" as const)), |
| 30 | Effect.repeat({ |
| 31 | schedule: Schedule.spaced("2 seconds"), |
| 32 | until: (status) => status === "gone", |
| 33 | times: 10, |
| 34 | }), |
| 35 | ); |
| 36 | |
| 37 | test.provider( |
| 38 | "getProjectsLocationsCollectionsEnginesConversations on a missing conversation fails with a typed tag", |
| 39 | (stack) => |
| 40 | Effect.gen(function* () { |
| 41 | const { project } = yield* GcpEnvironment.current; |
| 42 | |
| 43 | yield* stack.destroy(); |
| 44 | |
| 45 | const error = yield* Effect.flip( |
| 46 | discoveryengine.getProjectsLocationsCollectionsEnginesConversations({ |
| 47 | name: `projects/${project}/locations/global/collections/default_collection/engines/alchemy-missing/conversations/alchemy-missing`, |
| 48 | }), |
| 49 | ); |
| 50 | expect(error._tag).toEqual("NotFound"); |
| 51 | |
| 52 | yield* stack.destroy(); |
| 53 | }).pipe(logLevel, quotaTolerant), |
| 54 | { |
| 55 | tags: ["provider:gcp", "provider:gcp:discoveryengine", "live"], |
| 56 | timeout: 90_000, |
| 57 | }, |
| 58 | ); |
| 59 | |
| 60 | test.provider.skipIf(!runLifecycle)( |
| 61 | "create, update, and delete an engine conversation", |
| 62 | (stack) => |
| 63 | Effect.gen(function* () { |
| 64 | yield* stack.destroy(); |
| 65 | |
| 66 | const created = yield* stack.deploy( |
| 67 | Effect.gen(function* () { |
| 68 | const store = yield* GCP.DiscoveryEngine.CollectionsDataStore( |
| 69 | "Docs", |
| 70 | { |
| 71 | location: "global", |
| 72 | displayName: "conversation-docs", |
| 73 | }, |
| 74 | ); |
| 75 | const engine = yield* GCP.DiscoveryEngine.CollectionsEngine( |
| 76 | "Search", |
| 77 | { |
| 78 | location: "global", |
| 79 | dataStoreIds: [store.dataStoreId], |
| 80 | displayName: "conversation engine", |
| 81 | }, |
| 82 | ); |
| 83 | const conversation = |
| 84 | yield* GCP.DiscoveryEngine.CollectionsEnginesConversation("Chat", { |
| 85 | engine: engine.name, |
| 86 | state: "IN_PROGRESS", |
| 87 | }); |
| 88 | return { store, engine, conversation }; |
| 89 | }), |
| 90 | ); |
| 91 | |
| 92 | expect(created.conversation.name).toContain("/conversations/"); |
| 93 | expect(created.conversation.engine).toEqual(created.engine.name); |
| 94 | expect(created.conversation.state).toEqual("IN_PROGRESS"); |
| 95 | |
| 96 | const fetched = |
| 97 | yield* discoveryengine.getProjectsLocationsCollectionsEnginesConversations( |
| 98 | { name: created.conversation.name }, |
| 99 | ); |
| 100 | expect(fetched.name).toEqual(created.conversation.name); |
| 101 | expect(fetched.state).toEqual("IN_PROGRESS"); |
| 102 | |
| 103 | const updated = yield* stack.deploy( |
| 104 | Effect.gen(function* () { |
| 105 | const store = yield* GCP.DiscoveryEngine.CollectionsDataStore( |
| 106 | "Docs", |
| 107 | { |
| 108 | dataStoreId: created.store.dataStoreId, |
| 109 | location: "global", |
| 110 | displayName: "conversation-docs", |
| 111 | }, |
| 112 | ); |
| 113 | const engine = yield* GCP.DiscoveryEngine.CollectionsEngine( |
| 114 | "Search", |
| 115 | { |
| 116 | engineId: created.engine.engineId, |
| 117 | location: "global", |
| 118 | dataStoreIds: [store.dataStoreId], |
| 119 | displayName: "conversation engine", |
| 120 | }, |
| 121 | ); |
| 122 | const conversation = |
| 123 | yield* GCP.DiscoveryEngine.CollectionsEnginesConversation("Chat", { |
| 124 | engine: engine.name, |
| 125 | state: "COMPLETED", |
| 126 | }); |
| 127 | return { store, engine, conversation }; |
| 128 | }), |
| 129 | ); |
| 130 | |
| 131 | expect(updated.conversation.name).toEqual(created.conversation.name); |
| 132 | expect(updated.conversation.state).toEqual("COMPLETED"); |
| 133 | |
| 134 | yield* stack.destroy(); |
| 135 | |
| 136 | const gone = yield* waitUntilGone(created.conversation.name); |
| 137 | expect(gone).toEqual("gone"); |
| 138 | }).pipe(logLevel, quotaTolerant), |
| 139 | { |
| 140 | tags: ["provider:gcp", "provider:gcp:discoveryengine", "live"], |
| 141 | timeout: 120_000, |
| 142 | }, |
| 143 | ); |