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https://github.com/VibedByKaKi/t3-code-android-nightly.git
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114 lines
3.6 KiB
TypeScript
114 lines
3.6 KiB
TypeScript
import * as GCP from "@/GCP";
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import * as Effect from "effect/Effect";
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import { serveProbes } from "../../bindingHost.ts";
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const location = "us-central1";
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/**
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* Model bindings need a trained model: training takes hours, so
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* `GCP_TEST_TRANSLATE_MODEL=1` plus `GCP_TEST_TRANSLATE_MODEL_DATASET` (a
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* dataset with imported sentence pairs) opt in. The gate values are
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* forwarded to the host's environment so the deployed runtime binds the
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* same set.
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*/
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export const modelDataset =
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!process.env.FAST && process.env.GCP_TEST_TRANSLATE_MODEL === "1"
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? (process.env.GCP_TEST_TRANSLATE_MODEL_DATASET ?? "")
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: "";
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/**
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* Glossary-entry bindings need an existing glossary:
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* `GCP_TEST_TRANSLATE_GLOSSARY=1` plus `GCP_TEST_TRANSLATE_GLOSSARY_NAME`.
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*/
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export const glossaryName =
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!process.env.FAST && process.env.GCP_TEST_TRANSLATE_GLOSSARY === "1"
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? (process.env.GCP_TEST_TRANSLATE_GLOSSARY_NAME ?? "")
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: "";
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/** Adaptive MT dataset (no sentence pairs) the dataset bindings bind. */
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export const Dataset = GCP.Translate.AdaptiveMtDataset("BindEnEs", {
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location,
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sourceLanguageCode: "en",
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targetLanguageCode: "es",
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displayName: "bindenes",
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});
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/** Custom model; declared only when {@link modelDataset} is set. */
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export const EnEs = GCP.Translate.Model("EnEs", {
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location,
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dataset: modelDataset,
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displayName: "enes",
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});
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/** Glossary entry; declared only when {@link glossaryName} is set. */
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export const Hello = GCP.Translate.GlossariesGlossaryEntry("Hello", {
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parent: glossaryName,
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location,
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description: "greeting",
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termsPair: {
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sourceTerm: { languageCode: "en", text: "hello" },
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targetTerm: { languageCode: "es", text: "hola" },
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},
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});
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const modelProbes = Effect.gen(function* () {
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const getModel = yield* GCP.Translate.GetModel(EnEs);
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const translateText = yield* GCP.Translate.TranslateText(EnEs);
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return {
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getModel: getModel(),
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translateText: translateText({
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body: {
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contents: ["Hello, world"],
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targetLanguageCode: "es",
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sourceLanguageCode: "en",
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mimeType: "text/plain",
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},
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}),
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};
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});
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const glossaryProbes = Effect.gen(function* () {
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const getEntry = yield* GCP.Translate.GetGlossariesGlossaryEntry(Hello);
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return { getGlossaryEntry: getEntry() };
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});
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/**
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* Effect-native Cloud Run service exercising every Translate binding as its
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* own runtime service account. Deployed from {@link ../Bindings.test.ts}.
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*/
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export default class TranslateBindingsHost extends GCP.Function<TranslateBindingsHost>()(
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"TranslateBindingsHost",
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{
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main: import.meta.url,
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invokerIamDisabled: true,
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env: {
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GCP_TEST_TRANSLATE_MODEL: modelDataset ? "1" : "",
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GCP_TEST_TRANSLATE_MODEL_DATASET: modelDataset,
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GCP_TEST_TRANSLATE_GLOSSARY: glossaryName ? "1" : "",
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GCP_TEST_TRANSLATE_GLOSSARY_NAME: glossaryName,
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},
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},
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Effect.gen(function* () {
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const getDataset = yield* GCP.Translate.GetAdaptiveMtDataset(Dataset);
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const adaptiveTranslate = yield* GCP.Translate.AdaptiveMtTranslate(Dataset);
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const model = modelDataset ? yield* modelProbes : {};
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const glossary = glossaryName ? yield* glossaryProbes : {};
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return {
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fetch: serveProbes({
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getAdaptiveMtDataset: getDataset(),
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adaptiveMtTranslate: adaptiveTranslate({
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body: { content: ["hello"] },
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}),
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...model,
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...glossary,
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}),
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};
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}).pipe(
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Effect.provide(GCP.Translate.GetAdaptiveMtDatasetHttp),
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Effect.provide(GCP.Translate.AdaptiveMtTranslateHttp),
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Effect.provide(GCP.Translate.GetModelHttp),
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Effect.provide(GCP.Translate.TranslateTextHttp),
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Effect.provide(GCP.Translate.GetGlossariesGlossaryEntryHttp),
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),
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) {}
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