import type * as frauddetector from "@distilled.cloud/aws/frauddetector"; import type * as Effect from "effect/Effect"; import * as Binding from "../../Binding.ts"; import type { Detector } from "./Detector.ts"; /** * The `detectorId` is injected by the binding from the bound detector; * everything else (the event id, timestamp, entities, and variable values) is * the raw distilled request. Pin `detectorVersionId` to evaluate a specific * version; omit it to use the detector's `ACTIVE` version. */ export interface GetEventPredictionRequest extends Omit { } /** * Submit an event to a bound Amazon Fraud Detector detector and receive the * real-time model scores and rule outcomes for it — the effectful prediction * call made from a deployed Lambda or Task. * * ### Scoring Events * Provide the `GetEventPredictionHttp` implementation layer on the Function * effect, bind the detector in the init phase, then call the returned client * at runtime. The binding grants `frauddetector:GetEventPrediction` on the * detector and injects its `detectorId` automatically. * * **Example:** Predict from a Lambda * ```typescript * // init * const getEventPrediction = yield* FraudDetector.GetEventPrediction(detector); * * return { * fetch: Effect.gen(function* () { * // runtime * const { ruleResults } = yield* getEventPrediction({ * eventId: "order-123", * eventTypeName: "purchase", * eventTimestamp: new Date().toISOString(), * entities: [{ entityType: "customer", entityId: "cust-1" }], * eventVariables: { email: "fraud@example.com", ip: "1.2.3.4" }, * }); * const outcomes = ruleResults?.flatMap((r) => r.outcomes ?? []); * return HttpServerResponse.json({ outcomes }); * }), * }; * // on the Function effect: * // .pipe(Effect.provide(FraudDetector.GetEventPredictionHttp)) * ``` * * @binding */ export interface GetEventPrediction extends Binding.Service Effect.Effect<(request: GetEventPredictionRequest) => Effect.Effect>> { } export declare const GetEventPrediction: GetEventPrediction; //# sourceMappingURL=GetEventPrediction.d.ts.map