| 1 | import * as GCP from "@/GCP"; |
| 2 | import * as Output from "@/Output"; |
| 3 | import * as Effect from "effect/Effect"; |
| 4 | import * as Schedule from "effect/Schedule"; |
| 5 | import { serveProbes } from "../../bindingHost.ts"; |
| 6 | |
| 7 | /** Scratch bucket the Word Count template writes to. */ |
| 8 | export const PipelineTmp = GCP.Storage.Bucket("PipelineBindTmp", { |
| 9 | location: "US-CENTRAL1", |
| 10 | forceDestroy: true, |
| 11 | }); |
| 12 | |
| 13 | /** |
| 14 | * Batch pipeline the bindings run and stop (roles/datapipelines.invoker, |
| 15 | * roles/datapipelines.admin on the project). |
| 16 | */ |
| 17 | export const BindBatch = Effect.gen(function* () { |
| 18 | const bucket = yield* PipelineTmp; |
| 19 | return yield* GCP.DataPipelines.Pipeline("BindBatch", { |
| 20 | type: "PIPELINE_TYPE_BATCH", |
| 21 | displayName: "bind-batch", |
| 22 | workload: { |
| 23 | dataflowLaunchTemplateRequest: { |
| 24 | location: "us-central1", |
| 25 | gcsPath: "gs://dataflow-templates/latest/Word_Count", |
| 26 | launchParameters: { |
| 27 | jobName: "alchemy-bind-word-count", |
| 28 | parameters: { |
| 29 | inputFile: "gs://dataflow-samples/shakespeare/kinglear.txt", |
| 30 | output: Output.interpolate`gs://${bucket.bucketName}/out`, |
| 31 | }, |
| 32 | environment: { |
| 33 | tempLocation: Output.interpolate`gs://${bucket.bucketName}/tmp`, |
| 34 | }, |
| 35 | }, |
| 36 | }, |
| 37 | }, |
| 38 | }); |
| 39 | }); |
| 40 | |
| 41 | /** |
| 42 | * Effect-native Cloud Run service exercising every Data Pipelines binding |
| 43 | * as its own runtime service account. Deployed from |
| 44 | * {@link ../Bindings.test.ts}. |
| 45 | */ |
| 46 | export default class DataPipelinesBindingsHost extends GCP.Function<DataPipelinesBindingsHost>()( |
| 47 | "DataPipelinesBindingsHost", |
| 48 | { main: import.meta.url, invokerIamDisabled: true }, |
| 49 | Effect.gen(function* () { |
| 50 | const runPipeline = yield* GCP.DataPipelines.RunPipeline(BindBatch); |
| 51 | const stopPipeline = yield* GCP.DataPipelines.StopPipeline(BindBatch); |
| 52 | |
| 53 | return { |
| 54 | fetch: serveProbes({ |
| 55 | runPipeline: runPipeline(), |
| 56 | // Stopping right after a run fails with `NotFound: Job not found.` |
| 57 | // until Dataflow registers the launched job. |
| 58 | stopPipeline: stopPipeline().pipe( |
| 59 | Effect.retry({ |
| 60 | while: (error) => error._tag === "NotFound", |
| 61 | schedule: Schedule.spaced("3 seconds"), |
| 62 | times: 20, |
| 63 | }), |
| 64 | ), |
| 65 | }), |
| 66 | }; |
| 67 | }).pipe( |
| 68 | Effect.provide(GCP.DataPipelines.RunPipelineHttp), |
| 69 | Effect.provide(GCP.DataPipelines.StopPipelineHttp), |
| 70 | ), |
| 71 | ) {} |