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* fix restart sentinel internal continuations * update gateway prompt snapshots * stabilize sandbox browser audit timer tests * drive sandbox audit timeouts deterministically * drive gh-read timeout tests deterministically * drive label-open-issues timeout tests deterministically * document deterministic timeout test timers * test: preserve deterministic timer setup after rebase
169 lines
5.0 KiB
TypeScript
169 lines
5.0 KiB
TypeScript
import { afterEach, describe, expect, it, vi } from "vitest";
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import { testing } from "../../scripts/label-open-issues.ts";
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const labelItem = {
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number: 123,
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title: "Crash when loading channel",
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body: "The app crashes on startup.",
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labels: [],
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};
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describe("label-open-issues helpers", () => {
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// Timeout tests below advance fake timers explicitly so CI shard load cannot
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// turn a bounded request-timeout assertion into a wall-clock wait.
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afterEach(() => {
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vi.useRealTimers();
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});
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it("classifies items from OpenAI structured response text", async () => {
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const response = new Response(
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JSON.stringify({
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output_text: JSON.stringify({
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category: "bug",
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isSupport: true,
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isSkillOnly: false,
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}),
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}),
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{ status: 200 },
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);
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await expect(
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testing.classifyItem(labelItem, "issue", {
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apiKey: "test-key",
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model: "test-model",
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timeoutMs: 50,
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fetchImpl: (() => Promise.resolve(response)) as typeof fetch,
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}),
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).resolves.toEqual({
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category: "bug",
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isSupport: true,
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isSkillOnly: false,
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});
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});
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it("aborts stalled OpenAI classification fetches at the request timeout", async () => {
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let signal: AbortSignal | undefined;
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let markFetchStarted!: () => void;
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const fetchStarted = new Promise<void>((resolve) => {
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markFetchStarted = resolve;
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});
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vi.useFakeTimers();
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const request = testing.classifyItem(labelItem, "issue", {
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apiKey: "test-key",
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model: "test-model",
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timeoutMs: 5,
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fetchImpl: ((_url, init) => {
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signal = init?.signal ?? undefined;
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markFetchStarted();
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return new Promise(() => {});
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}) as typeof fetch,
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});
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const rejection = expect(request).rejects.toThrow(
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/OpenAI issue label classification request exceeded timeout/u,
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);
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await fetchStarted;
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await vi.advanceTimersByTimeAsync(5);
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await rejection;
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expect(signal?.aborted).toBe(true);
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});
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it("times out stalled OpenAI classification body reads", async () => {
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const response = new Response(new ReadableStream({}), { status: 200 });
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vi.useFakeTimers();
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const request = testing.classifyItem(labelItem, "issue", {
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apiKey: "test-key",
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model: "test-model",
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timeoutMs: 5,
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fetchImpl: (() => Promise.resolve(response)) as typeof fetch,
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});
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const rejection = expect(request).rejects.toThrow(
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/OpenAI issue label classification request exceeded timeout/u,
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);
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await vi.advanceTimersByTimeAsync(5);
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await rejection;
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});
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it("bounds OpenAI error response bodies", async () => {
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const tail = "tail-sentinel-should-not-appear";
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const response = new Response(`${"x".repeat(5000)}${tail}`, {
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status: 500,
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});
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let message = "";
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try {
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await testing.classifyItem(labelItem, "issue", {
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apiKey: "test-key",
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model: "test-model",
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timeoutMs: 50,
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fetchImpl: (() => Promise.resolve(response)) as typeof fetch,
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});
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} catch (error) {
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message = error instanceof Error ? error.message : String(error);
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}
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expect(message).toContain("OpenAI request failed (500):");
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expect(message).toContain("[truncated]");
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expect(message).not.toContain(tail);
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expect(message.length).toBeLessThan(4300);
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});
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it("reads bounded OpenAI classification JSON responses", async () => {
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await expect(
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testing.readBoundedOpenAIJson(new Response('{"output_text":"{}"}'), 1024),
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).resolves.toEqual({ output_text: "{}" });
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});
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it("rejects oversized OpenAI classification JSON responses by content length", async () => {
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let canceled = false;
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const response = new Response(
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new ReadableStream({
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cancel() {
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canceled = true;
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},
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}),
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{
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headers: {
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"content-length": "1025",
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},
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},
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);
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await expect(testing.readBoundedOpenAIJson(response, 1024)).rejects.toMatchObject({
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code: "ETOOBIG",
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message: "OpenAI classification response body exceeded 1024 bytes",
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});
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expect(canceled).toBe(true);
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});
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it("rejects oversized streamed OpenAI classification JSON responses", async () => {
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const encoder = new TextEncoder();
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const response = new Response(
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new ReadableStream({
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start(controller) {
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controller.enqueue(encoder.encode('{"output_text":"'));
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controller.enqueue(encoder.encode("x".repeat(1024)));
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controller.enqueue(encoder.encode('"}'));
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controller.close();
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},
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}),
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);
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await expect(testing.readBoundedOpenAIJson(response, 1024)).rejects.toMatchObject({
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code: "ETOOBIG",
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message: "OpenAI classification response body exceeded 1024 bytes",
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});
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});
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it("rejects invalid OpenAI classification timeout values", () => {
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expect(testing.resolveOpenAITimeoutMs("250")).toBe(250);
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expect(() => testing.resolveOpenAITimeoutMs("slow")).toThrow(
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/OPENCLAW_LABEL_OPEN_ISSUES_OPENAI_TIMEOUT_MS must be an integer/u,
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);
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});
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});
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