Files
openclaw/test/scripts/label-open-issues.test.ts
Josh Avant 584fa3215c Fix restart sentinel internal continuations (#88161)
* 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
2026-05-29 19:06:54 -07:00

169 lines
5.0 KiB
TypeScript

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