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https://github.com/VibedByKaKi/t3-code-android-nightly.git
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153 lines
4.6 KiB
TypeScript
153 lines
4.6 KiB
TypeScript
import * as GCP from "@/GCP";
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import { GcpEnvironment } from "@/GCP/Environment";
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import * as Test from "@/Test/Alchemy";
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import * as aiplatform from "@distilled.cloud/gcp/aiplatform_v1";
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import { expect } from "alchemy-test";
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import * as Effect from "effect/Effect";
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import { MinimumLogLevel } from "effect/References";
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import * as Schedule from "effect/Schedule";
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const { test } = Test.make({ providers: GCP.providers() });
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const logLevel = Effect.provideService(
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MinimumLogLevel,
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process.env.DEBUG ? "Debug" : "Info",
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);
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const waitUntilGone = (name: string) =>
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aiplatform.getDatasetsDatasetVersions({ name }).pipe(
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Effect.as("found" as const),
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Effect.catchTag("NotFound", () => Effect.succeed("gone" as const)),
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Effect.repeat({
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schedule: Schedule.spaced("2 seconds"),
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until: (status) => status === "gone",
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times: 10,
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}),
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);
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test.provider(
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"getDatasetsDatasetVersions on a missing version fails with a typed tag",
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(stack) =>
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Effect.gen(function* () {
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const { project } = yield* GcpEnvironment.current;
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const parent = `projects/${project}/locations/us-central1`;
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yield* stack.destroy();
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const error = yield* Effect.flip(
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aiplatform.getDatasetsDatasetVersions({
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name: `${parent}/datasets/1234567890123456789/datasetVersions/0`,
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}),
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);
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expect(error._tag).toEqual("NotFound");
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yield* stack.destroy();
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}).pipe(logLevel),
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{
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tags: ["provider:gcp", "provider:gcp:aiplatform", "live"],
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timeout: 90_000,
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},
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);
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const imageDataset = {
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location: "us-central1",
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displayName: "version-parent",
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metadataSchemaUri:
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"gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml",
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metadata: {},
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labels: { env: "test" },
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savedQueries: [
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{
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displayName: "default",
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problemType: "IMAGE_CLASSIFICATION_SINGLE_LABEL",
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},
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],
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};
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test.provider(
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"creating a version of a dataset without data items fails with GCP.OperationFailed",
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(stack) =>
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Effect.gen(function* () {
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yield* stack.destroy();
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const error = yield* Effect.flip(
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stack.deploy(
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Effect.gen(function* () {
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const dataset = yield* GCP.AIPlatform.Dataset(
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"Samples",
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imageDataset,
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);
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const version = yield* GCP.AIPlatform.DatasetsDatasetVersion("V1", {
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dataset: dataset.name,
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displayName: "v1",
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});
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return { dataset, version };
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}),
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),
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);
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expect(error._tag).toEqual("GCP.OperationFailed");
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yield* stack.destroy();
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}).pipe(logLevel),
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{
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tags: ["provider:gcp", "provider:gcp:aiplatform", "live"],
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timeout: 600_000,
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},
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);
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// Set GCP_TEST_AIPLATFORM_DATASET_VERSION on a project where this succeeds to run the full lifecycle.
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test.provider.skipIf(!process.env.GCP_TEST_AIPLATFORM_DATASET_VERSION)(
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"create, update, and delete a dataset version",
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(stack) =>
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Effect.gen(function* () {
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yield* stack.destroy();
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const created = yield* stack.deploy(
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Effect.gen(function* () {
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const dataset = yield* GCP.AIPlatform.Dataset(
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"Samples",
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imageDataset,
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);
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const version = yield* GCP.AIPlatform.DatasetsDatasetVersion("V1", {
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dataset: dataset.name,
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displayName: "v1",
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});
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return { dataset, version };
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}),
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);
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expect(created.version.name).toContain("/datasetVersions/");
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expect(created.version.dataset).toEqual(created.dataset.name);
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expect(created.version.displayName).toEqual("v1");
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const fetched = yield* aiplatform.getDatasetsDatasetVersions({
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name: created.version.name,
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});
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expect(fetched.name).toEqual(created.version.name);
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const updated = yield* stack.deploy(
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Effect.gen(function* () {
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const dataset = yield* GCP.AIPlatform.Dataset("Samples", {
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...imageDataset,
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datasetId: created.dataset.datasetId,
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});
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const version = yield* GCP.AIPlatform.DatasetsDatasetVersion("V1", {
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dataset: dataset.name,
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displayName: "v1-final",
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});
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return { dataset, version };
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}),
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);
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expect(updated.version.name).toEqual(created.version.name);
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expect(updated.version.displayName).toEqual("v1-final");
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yield* stack.destroy();
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const gone = yield* waitUntilGone(created.version.name);
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expect(gone).toEqual("gone");
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}).pipe(logLevel),
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{
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tags: ["provider:gcp", "provider:gcp:aiplatform", "live"],
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timeout: 120_000,
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},
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);
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