import * as databrew from "@distilled.cloud/aws/databrew"; import * as Effect from "effect/Effect"; import * as Schedule from "effect/Schedule"; import { diffTags } from "../../Tags.ts"; /** ARN partition — the testing account is on the standard AWS partition. */ const PARTITION = "aws"; /** `arn:aws:databrew:{region}:{account}:{type}/{name}` */ export const databrewArn = ( region: string, accountId: string, type: "dataset" | "recipe" | "project" | "job" | "ruleset" | "schedule", name: string, ) => `arn:${PARTITION}:databrew:${region}:${accountId}:${type}/${name}`; /** * Fetch the observed DataBrew tags for a resource ARN as a plain record. * Tolerate a missing/untaggable resource as `{}`. */ export const fetchObservedTags = Effect.fn("AWS.DataBrew.fetchObservedTags")( function* (resourceArn: string) { const response = yield* databrew .listTagsForResource({ ResourceArn: resourceArn }) .pipe(Effect.catch(() => Effect.succeed({ Tags: undefined }))); return cleanMap(response.Tags); }, ); /** * Sync a DataBrew resource's tags: diff OBSERVED cloud tags against desired * and apply the delta via `TagResource` (map upsert) / `UntagResource` * (removed keys). */ export const syncTags = Effect.fn("AWS.DataBrew.syncTags")(function* ( resourceArn: string, observed: Record, desired: Record, ) { const { upsert, removed } = diffTags(observed, desired); if (upsert.length > 0) { yield* databrew.tagResource({ ResourceArn: resourceArn, Tags: Object.fromEntries(upsert.map((t) => [t.Key, t.Value])), }); } if (removed.length > 0) { yield* databrew.untagResource({ ResourceArn: resourceArn, TagKeys: removed, }); } }); /** * Bounded retry through `ConflictException` — DataBrew rejects mutations * while a conflicting operation is in flight (e.g. deleting a job whose run * is still starting, or racing reconciles on the same name). The budget is * ~2 minutes because deletes run in parallel: a dataset/recipe delete can * legitimately conflict ("is used in job …") for the whole window in which * the associated job is still waiting for its last run to wind down before * deleting itself. Explicitly typed so the conditional `Retry.Return` type * does not leak into the provider's declaration emit and widen * `AWS.providers()` for downstream consumers. */ export const retryWhileConflict = ( self: Effect.Effect, ): Effect.Effect => Effect.retry(self, { while: (e) => e._tag === "ConflictException", schedule: Schedule.max([Schedule.fixed("5 seconds"), Schedule.recurs(24)]), }); /** * Bounded retry through `DataBrewRoleNotAssumable` — a freshly-created IAM * role is not yet visible to DataBrew (IAM propagation), which surfaces as a * message-discriminated `ValidationException` ("DataBrew is not a trusted * entity for the data access role ...", patched into a typed tag). * Explicitly typed for the same declaration-emit reason as above. */ export const retryWhileRoleNotAssumable = ( self: Effect.Effect, ): Effect.Effect => Effect.retry(self, { // A freshly-attached S3 policy on the role also propagates lazily and // surfaces as AccessDeniedException ("Access denied to s3:GetObject for // arn:...:role/... Error: Forbidden") while DataBrew validates the // dataset source — retry both bounded. while: (e) => e._tag === "DataBrewRoleNotAssumable" || e._tag === "AccessDeniedException", schedule: Schedule.max([Schedule.fixed("5 seconds"), Schedule.recurs(12)]), }); /** DataBrew free-form maps arrive with `undefined` values erased. */ export const cleanMap = ( map: Record | undefined, ): Record => Object.fromEntries( Object.entries(map ?? {}).filter( (entry): entry is [string, string] => entry[1] !== undefined, ), ); /** * Canonical (key-sorted) JSON — used to compare an observed wire-shaped * structure against the desired one so no-op updates can skip API calls * and recipe publishing only happens when the working copy actually changed. */ export const canonicalJson = (value: unknown): string => JSON.stringify(sortKeys(value)); const sortKeys = (value: unknown): unknown => { if (Array.isArray(value)) return value.map(sortKeys); if (value !== null && typeof value === "object") { return Object.fromEntries( Object.entries(value as Record) .filter(([, v]) => v !== undefined) .sort(([a], [b]) => (a < b ? -1 : a > b ? 1 : 0)) .map(([k, v]) => [k, sortKeys(v)]), ); } return value; };