Jesse_Chen
85 lines
3.1 KiB
TypeScript
85 lines
3.1 KiB
TypeScript
import assert from "node:assert/strict";
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import test from "node:test";
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import { projectConsultationWorkflowRequest } from "../src/lib/consultation-workflow-request.ts";
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import { runConsultationWorkflow } from "../src/mastra/index.ts";
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import type { ConsultationInput } from "../src/mastra/index.ts";
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test("timing questions use a legal report theme and preserve a timing route hint", () => {
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// Given: a public timing consultation question.
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const question = "未来哪些阶段值得把握？";
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// When: its workflow request is projected for the Python service.
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const request = projectConsultationWorkflowRequest(question, "timing");
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// Then: the illegal public theme is converted to a legal report theme with strict route metadata.
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assert.equal(request.question, "应期与阶段问题：未来哪些阶段值得把握？");
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assert.deepEqual(request.themes, ["career"]);
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assert.equal(request.strictWorkflowRoute, "timing");
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assert.ok(request.requiredLayers.includes("Narayana"));
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assert.ok(request.requiredLayers.includes("negative holdout gate"));
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assert.equal(request.claimBoundary, "candidate_day_month_window_only_until_holdout_passes");
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});
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test("consultation workflow allows a cold engine run to finish", async () => {
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const source = await import("node:fs/promises").then(({ readFile }) =>
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readFile(new URL("../src/mastra/index.ts", import.meta.url), "utf8")
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);
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assert.match(source, /AbortSignal\.timeout\(90_000\)/);
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});
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test("timing input projects only legal private workflow fields", async () => {
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// Given: a public timing input and a Python workflow response.
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const input: ConsultationInput = {
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year: 1990,
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month: 1,
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day: 1,
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hour: 12,
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minute: 0,
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lat: 25,
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lon: 121,
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tz: 8,
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city: "台北",
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question: "未来哪些阶段值得把握？",
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theme: "timing",
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entryMode: "direct_chart",
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};
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let requestBody = "";
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const originalFetch = globalThis.fetch;
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globalThis.fetch = async (_input, init) => {
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requestBody = typeof init?.body === "string" ? init.body : "";
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return new Response(JSON.stringify({
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success: true,
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chart: {},
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routing: {},
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consumer_context: {
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route: "career",
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core_status: "ready",
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available_layers: [],
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missing_route_layers: [],
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hard_blockers: [],
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answer_policy: {
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can_answer_direction: true,
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can_answer_precise_timing: false,
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},
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},
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}), { status: 200 });
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};
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try {
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// When: the adapter invokes the Python workflow.
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await runConsultationWorkflow(input);
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} finally {
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globalThis.fetch = originalFetch;
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}
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// Then: private workflow fields are projected without mutating public input.
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const body = JSON.parse(requestBody);
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assert.equal(body.question, "应期与阶段问题：未来哪些阶段值得把握？");
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assert.equal(body.question_text, "应期与阶段问题：未来哪些阶段值得把握？");
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assert.deepEqual(body.theme, ["career"]);
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assert.doesNotMatch(requestBody, /"timing"/);
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assert.equal(input.question, "未来哪些阶段值得把握？");
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assert.equal(input.theme, "timing");
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});
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