1import * as GCP from "@/GCP";
2import { GcpEnvironment } from "@/GCP/Environment";
3import * as Test from "@/Test/Alchemy";
4import * as aiplatform from "@distilled.cloud/gcp/aiplatform_v1";
5import { expect } from "alchemy-test";
6import * as Effect from "effect/Effect";
7import { MinimumLogLevel } from "effect/References";
8import * as Schedule from "effect/Schedule";
9
10const { test } = Test.make({ providers: GCP.providers() });
11
12const logLevel = Effect.provideService(
13 MinimumLogLevel,
14 process.env.DEBUG ? "Debug" : "Info",
15);
16
17const waitUntilGone = (name: string) =>
18 aiplatform.getProjectsLocationsStudiesTrials({ name }).pipe(
19 Effect.as("found" as const),
20 Effect.catchTag("NotFound", () => Effect.succeed("gone" as const)),
21 Effect.repeat({
22 schedule: Schedule.spaced("1 second"),
23 until: (status) => status === "gone",
24 times: 10,
25 }),
26 );
27
28const studySpec = {
29 metrics: [{ metricId: "accuracy", goal: "MAXIMIZE" as const }],
30 parameters: [
31 {
32 parameterId: "learning_rate",
33 doubleValueSpec: { minValue: 0.001, maxValue: 0.1 },
34 },
35 ],
36 algorithm: "RANDOM_SEARCH" as const,
37};
38
39test.provider(
40 "getProjectsLocationsStudiesTrials on a missing trial fails with a typed tag",
41 (stack) =>
42 Effect.gen(function* () {
43 const { project } = yield* GcpEnvironment.current;
44 yield* stack.destroy();
45
46 const error = yield* Effect.flip(
47 aiplatform.getProjectsLocationsStudiesTrials({
48 name: `projects/${project}/locations/us-central1/studies/1234567890123456789/trials/1`,
49 }),
50 );
51 expect(error._tag).toEqual("NotFound");
52
53 yield* stack.destroy();
54 }).pipe(logLevel),
55 {
56 tags: ["provider:gcp", "provider:gcp:aiplatform", "live"],
57 timeout: 90_000,
58 },
59);
60
61test.provider(
62 "create and delete a user-provided vizier trial",
63 (stack) =>
64 Effect.gen(function* () {
65 yield* stack.destroy();
66
67 const created = yield* stack.deploy(
68 Effect.gen(function* () {
69 const study = yield* GCP.AIPlatform.Study("Tune", {
70 location: "us-central1",
71 displayName: "trial_search",
72 studySpec,
73 });
74 return yield* GCP.AIPlatform.StudiesTrial("Seed", {
75 parent: study.name,
76 parameters: [{ parameterId: "learning_rate", value: 0.01 }],
77 });
78 }),
79 );
80
81 expect(created.name).toContain("/trials/");
82 expect(created.parameters[0]?.parameterId).toEqual("learning_rate");
83
84 const fetched = yield* aiplatform.getProjectsLocationsStudiesTrials({
85 name: created.name,
86 });
87 expect(fetched.name).toEqual(created.name);
88
89 yield* stack.destroy();
90 const gone = yield* waitUntilGone(created.name);
91 expect(gone).toEqual("gone");
92 }).pipe(logLevel),
93 {
94 tags: ["provider:gcp", "provider:gcp:aiplatform", "live"],
95 timeout: 90_000,
96 },
97);