4c47eb46c3
## Thinking Path > - Paperclip orchestrates AI agents for autonomous companies. > - Agents and board operators coordinate through company-scoped issues, comments, documents, and heartbeat wake payloads. > - Chinese, Japanese, and Hindi text needs to survive the full issue lifecycle without normalization or prompt serialization damage. > - The riskiest paths are board issue creation, server issue/comment/document round-tripping, and scoped wake prompt rendering. > - This pull request adds focused regression coverage across those surfaces. > - The benefit is higher confidence that multilingual operators and agents can create, search, comment on, complete, and wake on issues using non-Latin text. ## What Changed - Added adapter-utils wake payload and prompt rendering coverage for Chinese, Japanese, and Hindi issue/comment text. - Added UI New Issue dialog coverage proving multilingual title and description text is submitted unchanged. - Added server route coverage that round-trips multilingual issue text through create, search, comments, documents, completion comments, and heartbeat context. - Addressed Greptile feedback by using a typed storage mock and splitting the server route integration path into smaller ordered assertions. ## Verification - `pnpm exec vitest run packages/adapter-utils/src/server-utils.test.ts ui/src/components/NewIssueDialog.test.tsx server/src/__tests__/multilingual-issues-routes.test.ts` - Result: 3 test files passed, 51 tests passed. ## Risks - Low risk: this PR adds regression coverage only and does not change runtime behavior. - The new server test uses embedded Postgres support and skips on unsupported hosts using the existing helper pattern. - No migrations are included. - No `pnpm-lock.yaml` changes are included. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected - check the roadmap first. See `CONTRIBUTING.md`. ## Model Used - OpenAI Codex, GPT-5 based coding agent, with shell, git, Vitest, and GitHub connector/CLI tool use. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] If this change affects the UI, I have included before/after screenshots - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] I will address all Greptile and reviewer comments before requesting merge
183 lines
6.6 KiB
TypeScript
183 lines
6.6 KiB
TypeScript
import { randomUUID } from "node:crypto";
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import express from "express";
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import request from "supertest";
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import { afterAll, beforeAll, describe, expect, it, vi } from "vitest";
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import { companies, createDb } from "@paperclipai/db";
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import {
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getEmbeddedPostgresTestSupport,
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startEmbeddedPostgresTestDatabase,
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} from "./helpers/embedded-postgres.js";
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import { errorHandler } from "../middleware/index.js";
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import { issueRoutes } from "../routes/issues.js";
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import type { StorageService } from "../storage/types.js";
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const embeddedPostgresSupport = await getEmbeddedPostgresTestSupport();
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const describeEmbeddedPostgres = embeddedPostgresSupport.supported ? describe.sequential : describe.skip;
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if (!embeddedPostgresSupport.supported) {
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console.warn(
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`Skipping embedded Postgres multilingual issue route tests on this host: ${embeddedPostgresSupport.reason ?? "unsupported environment"}`,
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);
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}
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describeEmbeddedPostgres("multilingual issue routes", () => {
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let db!: ReturnType<typeof createDb>;
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let tempDb: Awaited<ReturnType<typeof startEmbeddedPostgresTestDatabase>> | null = null;
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let app!: ReturnType<typeof createApp>;
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let companyId!: string;
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const title = "验证中文任务";
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const description = [
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"请用中文回复并保留上下文。",
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"日本語: 次の手順を書いてください。",
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"हिन्दी: कृपया स्थिति बताएं।",
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].join("\n");
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const firstReply = [
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"结果: 中文响应保留。",
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"日本語の返信も保持。",
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"हिन्दी उत्तर भी सुरक्षित है।",
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].join("\n");
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const completionNote = [
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"完成: 已验证中文。",
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"日本語: 完了しました。",
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"हिन्दी: सत्यापन पूरा हुआ।",
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].join("\n");
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const documentBody = [
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"# QA notes",
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"",
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"- 中文: 可以创建、读取、搜索、评论。",
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"- 日本語: ドキュメント本文を保持します。",
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"- हिन्दी: दस्तावेज़ पाठ सुरक्षित रहता है।",
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].join("\n");
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beforeAll(async () => {
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tempDb = await startEmbeddedPostgresTestDatabase("paperclip-multilingual-issues-");
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db = createDb(tempDb.connectionString);
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companyId = randomUUID();
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app = createApp(companyId);
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await db.insert(companies).values({
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id: companyId,
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name: "Multilingual tenant",
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issuePrefix: "LNG",
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requireBoardApprovalForNewAgents: false,
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});
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}, 20_000);
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afterAll(async () => {
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await tempDb?.cleanup();
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});
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function createStorage(): StorageService {
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return {
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provider: "local_disk",
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putFile: vi.fn(async () => {
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throw new Error("Unexpected storage.putFile call in multilingual issue route test");
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}),
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getObject: vi.fn(async () => {
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throw new Error("Unexpected storage.getObject call in multilingual issue route test");
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}),
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headObject: vi.fn(async () => ({ exists: false })),
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deleteObject: vi.fn(async () => undefined),
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};
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}
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function createApp(companyId: string) {
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const app = express();
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app.use(express.json());
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app.use((req, _res, next) => {
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(req as any).actor = {
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type: "board",
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userId: "cloud-user-1",
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companyIds: [companyId],
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memberships: [{ companyId, membershipRole: "owner", status: "active" }],
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source: "cloud_tenant",
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isInstanceAdmin: true,
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};
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next();
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});
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app.use("/api", issueRoutes(db, createStorage()));
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app.use(errorHandler);
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return app;
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}
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it("creates an issue with multilingual title and description", async () => {
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const createRes = await request(app)
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.post(`/api/companies/${companyId}/issues`)
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.send({
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title,
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description,
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status: "todo",
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priority: "medium",
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});
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expect(createRes.status, JSON.stringify(createRes.body)).toBe(201);
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expect(createRes.body).toMatchObject({
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title,
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description,
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status: "todo",
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priority: "medium",
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identifier: "LNG-1",
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});
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});
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it("reads the multilingual title and description unchanged", async () => {
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const getRes = await request(app).get("/api/issues/LNG-1");
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expect(getRes.status, JSON.stringify(getRes.body)).toBe(200);
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expect(getRes.body.title).toBe(title);
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expect(getRes.body.description).toBe(description);
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});
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it("finds the issue by Chinese search text", async () => {
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const searchRes = await request(app).get(`/api/companies/${companyId}/issues`).query({ q: "中文" });
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expect(searchRes.status, JSON.stringify(searchRes.body)).toBe(200);
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expect(searchRes.body.map((issue: { identifier: string }) => issue.identifier)).toContain("LNG-1");
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});
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it("preserves multilingual comment bodies", async () => {
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const commentRes = await request(app)
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.post("/api/issues/LNG-1/comments")
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.send({ body: firstReply });
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expect(commentRes.status, JSON.stringify(commentRes.body)).toBe(201);
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expect(commentRes.body.body).toBe(firstReply);
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});
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it("preserves multilingual document bodies", async () => {
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const documentRes = await request(app)
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.put("/api/issues/LNG-1/documents/qa-notes")
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.send({
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title: "Multilingual QA",
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format: "markdown",
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body: documentBody,
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});
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expect(documentRes.status, JSON.stringify(documentRes.body)).toBe(201);
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expect(documentRes.body.body).toBe(documentBody);
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});
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it("preserves multilingual completion comments", async () => {
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const completeRes = await request(app)
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.patch("/api/issues/LNG-1")
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.send({ status: "done", comment: completionNote });
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expect(completeRes.status, JSON.stringify(completeRes.body)).toBe(200);
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expect(completeRes.body.status).toBe("done");
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expect(completeRes.body.comment.body).toBe(completionNote);
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});
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it("lists multilingual comments in write order", async () => {
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const commentsRes = await request(app).get("/api/issues/LNG-1/comments").query({ order: "asc" });
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expect(commentsRes.status, JSON.stringify(commentsRes.body)).toBe(200);
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expect(commentsRes.body.map((comment: { body: string }) => comment.body)).toEqual([
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firstReply,
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completionNote,
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]);
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});
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it("exposes multilingual issue text in heartbeat context", async () => {
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const heartbeatContextRes = await request(app).get("/api/issues/LNG-1/heartbeat-context");
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expect(heartbeatContextRes.status, JSON.stringify(heartbeatContextRes.body)).toBe(200);
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expect(heartbeatContextRes.body.issue.title).toBe(title);
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expect(heartbeatContextRes.body.issue.description).toBe(description);
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expect(heartbeatContextRes.body.commentCursor.totalComments).toBe(2);
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});
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});
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