t3-code-android-nightly/.repos/alchemy-effect/packages/alchemy/test/GCP/AIPlatform/TrainingPipeline.test.ts

import * as GCP from "@/GCP";
import { GcpEnvironment } from "@/GCP/Environment";
import * as Test from "@/Test/Alchemy";
import * as aiplatform from "@distilled.cloud/gcp/aiplatform_v1";
import { expect } from "alchemy-test";
import * as Effect from "effect/Effect";
import { MinimumLogLevel } from "effect/References";
import * as Schedule from "effect/Schedule";

const { test } = Test.make({ providers: GCP.providers() });

const logLevel = Effect.provideService(
  MinimumLogLevel,
  process.env.DEBUG ? "Debug" : "Info",
);

const waitUntilGone = (name: string) =>
  aiplatform.getProjectsLocationsTrainingPipelines({ name }).pipe(
    Effect.as("found" as const),
    Effect.catchTag("NotFound", () => Effect.succeed("gone" as const)),
    Effect.repeat({
      schedule: Schedule.spaced("2 seconds"),
      until: (status) => status === "gone",
      times: 10,
    }),
  );

test.provider(
  "getProjectsLocationsTrainingPipelines on a missing pipeline fails with a typed tag",
  (stack) =>
    Effect.gen(function* () {
      const { project } = yield* GcpEnvironment.current;
      yield* stack.destroy();

      const error = yield* Effect.flip(
        aiplatform.getProjectsLocationsTrainingPipelines({
          name: `projects/${project}/locations/us-central1/trainingPipelines/1234567890123456789`,
        }),
      );
      expect(error._tag).toEqual("NotFound");
      const page = yield* aiplatform.listProjectsLocationsTrainingPipelines({
        parent: `projects/${project}/locations/us-central1`,
        pageSize: 10,
      });
      expect(
        (page.trainingPipelines ?? []).map((item) => item.name),
      ).not.toContain(
        `projects/${project}/locations/us-central1/trainingPipelines/1234567890123456789`,
      );

      yield* stack.destroy();
    }).pipe(logLevel),
  {
    tags: ["provider:gcp", "provider:gcp:aiplatform", "live"],
    timeout: 90_000,
  },
);

test.provider(
  "create, refresh, and delete a training pipeline",
  (stack) =>
    Effect.gen(function* () {
      yield* stack.destroy();

      const created = yield* stack.deploy(
        Effect.gen(function* () {
          return yield* GCP.AIPlatform.TrainingPipeline("Train", {
            location: "us-central1",
            displayName: "alchemy-test-pipeline",
            trainingTaskDefinition:
              "gs://google-cloud-aiplatform/schema/trainingjob/definition/custom_task_1.0.0.yaml",
            trainingTaskInputs: {
              workerPoolSpecs: [
                {
                  machineSpec: { machineType: "n1-standard-4" },
                  replicaCount: "1",
                  containerSpec: {
                    imageUri:
                      "us-docker.pkg.dev/vertex-ai/training/tf-cpu.2-12.py310:latest",
                    command: ["echo", "ok"],
                  },
                },
              ],
            },
            labels: { env: "test" },
          });
        }),
      );

      expect(created.name).toContain("/trainingPipelines/");
      expect(created.trainingPipelineId).toEqual(expect.any(String));
      expect(created.location).toEqual("us-central1");
      expect(created.labels).toMatchObject({ env: "test" });

      const fetched = yield* aiplatform.getProjectsLocationsTrainingPipelines({
        name: created.name,
      });
      expect(fetched.name).toEqual(created.name);
      expect(fetched.labels?.env).toEqual("test");

      const updated = yield* stack.deploy(
        Effect.gen(function* () {
          return yield* GCP.AIPlatform.TrainingPipeline("Train", {
            trainingPipelineId: created.trainingPipelineId,
            location: "us-central1",
            displayName: "alchemy-test-pipeline",
            trainingTaskDefinition: created.trainingTaskDefinition ?? "",
            trainingTaskInputs: created.trainingTaskInputs,
            labels: { env: "prod" },
          });
        }),
      );

      expect(updated.name).toEqual(created.name);
      expect(updated.trainingPipelineId).toEqual(created.trainingPipelineId);

      yield* stack.destroy();

      const gone = yield* waitUntilGone(created.name);
      expect(gone).toEqual("gone");
    }).pipe(logLevel),
  {
    tags: ["provider:gcp", "provider:gcp:aiplatform", "live"],
    timeout: 120_000,
  },
);