mirror of
https://github.com/openclaw/openclaw.git
synced 2026-04-17 04:01:05 +00:00
569 lines
19 KiB
TypeScript
569 lines
19 KiB
TypeScript
import fs from "node:fs/promises";
|
|
import os from "node:os";
|
|
import path from "node:path";
|
|
import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
|
|
import { runQaCharacterEval, type QaCharacterEvalParams } from "./character-eval.js";
|
|
import type { QaSuiteResult } from "./suite.js";
|
|
|
|
type CharacterRunSuiteParams = Parameters<NonNullable<QaCharacterEvalParams["runSuite"]>>[0];
|
|
type CharacterRunJudgeParams = Parameters<NonNullable<QaCharacterEvalParams["runJudge"]>>[0];
|
|
|
|
function makeSuiteResult(params: { outputDir: string; model: string; transcript: string }) {
|
|
return {
|
|
outputDir: params.outputDir,
|
|
reportPath: path.join(params.outputDir, "qa-suite-report.md"),
|
|
summaryPath: path.join(params.outputDir, "qa-suite-summary.json"),
|
|
report: "# report",
|
|
watchUrl: "http://127.0.0.1:43124",
|
|
scenarios: [
|
|
{
|
|
name: "Character vibes",
|
|
status: "pass",
|
|
steps: [
|
|
{
|
|
name: `transcript for ${params.model}`,
|
|
status: "pass",
|
|
details: params.transcript,
|
|
},
|
|
],
|
|
},
|
|
],
|
|
} satisfies QaSuiteResult;
|
|
}
|
|
|
|
describe("runQaCharacterEval", () => {
|
|
let tempRoot: string;
|
|
|
|
beforeEach(async () => {
|
|
tempRoot = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-character-eval-test-"));
|
|
});
|
|
|
|
afterEach(async () => {
|
|
await fs.rm(tempRoot, { recursive: true, force: true });
|
|
});
|
|
|
|
it("runs each requested model and writes a judged report with transcripts", async () => {
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) => {
|
|
const model = params.primaryModel;
|
|
const transcript = `USER Alice: prompt for ${model}\n\nASSISTANT openclaw: reply from ${model}`;
|
|
return makeSuiteResult({ outputDir: params.outputDir, model, transcript });
|
|
});
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) =>
|
|
JSON.stringify({
|
|
rankings: [
|
|
{
|
|
model: "openai/gpt-5.4",
|
|
rank: 1,
|
|
score: 9.1,
|
|
summary: "Most natural.",
|
|
strengths: ["vivid"],
|
|
weaknesses: ["none"],
|
|
},
|
|
{
|
|
model: "codex-cli/test-model",
|
|
rank: 2,
|
|
score: 7,
|
|
summary: "Readable but flatter.",
|
|
strengths: ["coherent"],
|
|
weaknesses: ["less funny"],
|
|
},
|
|
],
|
|
}),
|
|
);
|
|
|
|
const result = await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: ["openai/gpt-5.4", "codex-cli/test-model", "openai/gpt-5.4"],
|
|
scenarioId: "character-vibes-gollum",
|
|
candidateFastMode: true,
|
|
judgeModels: ["openai/gpt-5.4"],
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(runSuite).toHaveBeenCalledTimes(2);
|
|
expect(runSuite).toHaveBeenNthCalledWith(
|
|
1,
|
|
expect.objectContaining({
|
|
providerMode: "live-frontier",
|
|
primaryModel: "openai/gpt-5.4",
|
|
alternateModel: "openai/gpt-5.4",
|
|
fastMode: true,
|
|
scenarioIds: ["character-vibes-gollum"],
|
|
}),
|
|
);
|
|
expect(runJudge).toHaveBeenCalledWith(
|
|
expect.objectContaining({
|
|
judgeModel: "openai/gpt-5.4",
|
|
judgeThinkingDefault: "xhigh",
|
|
judgeFastMode: true,
|
|
}),
|
|
);
|
|
expect(result.judgments).toHaveLength(1);
|
|
expect(result.judgments[0]?.rankings.map((ranking) => ranking.model)).toEqual([
|
|
"openai/gpt-5.4",
|
|
"codex-cli/test-model",
|
|
]);
|
|
|
|
const report = await fs.readFile(result.reportPath, "utf8");
|
|
expect(report).toContain("Execution: local QA gateway child processes, not Docker");
|
|
expect(report).toContain("Judges: openai/gpt-5.4");
|
|
expect(report).toContain("Judge model labels: visible");
|
|
expect(report).toContain("## Judge Rankings");
|
|
expect(report).toContain("### openai/gpt-5.4");
|
|
expect(report).toContain("reply from openai/gpt-5.4");
|
|
expect(report).toContain("reply from codex-cli/test-model");
|
|
expect(report).toContain("Judge thinking: xhigh");
|
|
expect(report).toContain("Fast mode: on");
|
|
expect(report).toContain("Duration:");
|
|
expect(report).not.toContain("Duration ms:");
|
|
expect(report).not.toContain("Judge Raw Reply");
|
|
});
|
|
|
|
it("can hide candidate model refs from judge prompts and map rankings back", async () => {
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) =>
|
|
makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript: "USER Alice: hi\n\nASSISTANT openclaw: anonymous reply",
|
|
}),
|
|
);
|
|
const runJudge = vi.fn(async (params: CharacterRunJudgeParams) => {
|
|
expect(params.prompt).toContain("## CANDIDATE candidate-01");
|
|
expect(params.prompt).toContain("## CANDIDATE candidate-02");
|
|
expect(params.prompt).not.toContain("openai/gpt-5.4");
|
|
expect(params.prompt).not.toContain("codex-cli/test-model");
|
|
return JSON.stringify({
|
|
rankings: [
|
|
{
|
|
model: "candidate-02",
|
|
rank: 1,
|
|
score: 9.1,
|
|
summary: "Better vibes.",
|
|
},
|
|
{
|
|
model: "candidate-01",
|
|
rank: 2,
|
|
score: 7.4,
|
|
summary: "Solid.",
|
|
},
|
|
],
|
|
});
|
|
});
|
|
|
|
const result = await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: ["openai/gpt-5.4", "codex-cli/test-model"],
|
|
judgeModels: ["openai/gpt-5.4"],
|
|
judgeBlindModels: true,
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(result.judgments[0]?.blindModels).toBe(true);
|
|
expect(result.judgments[0]?.rankings.map((ranking) => ranking.model)).toEqual([
|
|
"codex-cli/test-model",
|
|
"openai/gpt-5.4",
|
|
]);
|
|
const report = await fs.readFile(result.reportPath, "utf8");
|
|
expect(report).toContain("Judge model labels: blind");
|
|
expect(report).toContain("1. codex-cli/test-model - 9.1 - Better vibes.");
|
|
});
|
|
|
|
it("defaults to the character eval model panel when no models are provided", async () => {
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) =>
|
|
makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript: `USER Alice: hi\n\nASSISTANT openclaw: reply from ${params.primaryModel}`,
|
|
}),
|
|
);
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) =>
|
|
JSON.stringify({
|
|
rankings: [
|
|
{ model: "openai/gpt-5.4", rank: 1, score: 8, summary: "ok" },
|
|
{ model: "openai/gpt-5.2", rank: 2, score: 7.5, summary: "ok" },
|
|
{ model: "openai/gpt-5", rank: 3, score: 7.2, summary: "ok" },
|
|
{ model: "anthropic/claude-opus-4-6", rank: 4, score: 7, summary: "ok" },
|
|
{ model: "anthropic/claude-sonnet-4-6", rank: 5, score: 6.8, summary: "ok" },
|
|
{ model: "zai/glm-5.1", rank: 6, score: 6.3, summary: "ok" },
|
|
{ model: "moonshot/kimi-k2.5", rank: 7, score: 6.2, summary: "ok" },
|
|
{ model: "google/gemini-3.1-pro-preview", rank: 8, score: 6, summary: "ok" },
|
|
],
|
|
}),
|
|
);
|
|
|
|
await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: [],
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(runSuite).toHaveBeenCalledTimes(8);
|
|
expect(runSuite.mock.calls.map(([params]) => params.primaryModel)).toEqual([
|
|
"openai/gpt-5.4",
|
|
"openai/gpt-5.2",
|
|
"openai/gpt-5",
|
|
"anthropic/claude-opus-4-6",
|
|
"anthropic/claude-sonnet-4-6",
|
|
"zai/glm-5.1",
|
|
"moonshot/kimi-k2.5",
|
|
"google/gemini-3.1-pro-preview",
|
|
]);
|
|
expect(runSuite.mock.calls.map(([params]) => params.thinkingDefault)).toEqual([
|
|
"xhigh",
|
|
"xhigh",
|
|
"xhigh",
|
|
"high",
|
|
"high",
|
|
"high",
|
|
"high",
|
|
"high",
|
|
]);
|
|
expect(runSuite.mock.calls.map(([params]) => params.fastMode)).toEqual([
|
|
true,
|
|
true,
|
|
true,
|
|
false,
|
|
false,
|
|
false,
|
|
false,
|
|
false,
|
|
]);
|
|
expect(runJudge).toHaveBeenCalledTimes(2);
|
|
expect(runJudge.mock.calls.map(([params]) => params.judgeModel)).toEqual([
|
|
"openai/gpt-5.4",
|
|
"anthropic/claude-opus-4-6",
|
|
]);
|
|
expect(runJudge.mock.calls.map(([params]) => params.judgeThinkingDefault)).toEqual([
|
|
"xhigh",
|
|
"high",
|
|
]);
|
|
expect(runJudge.mock.calls.map(([params]) => params.judgeFastMode)).toEqual([true, false]);
|
|
});
|
|
|
|
it("runs candidate models with bounded concurrency while preserving result order", async () => {
|
|
let activeRuns = 0;
|
|
let maxActiveRuns = 0;
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) => {
|
|
activeRuns += 1;
|
|
maxActiveRuns = Math.max(maxActiveRuns, activeRuns);
|
|
await new Promise((resolve) => setTimeout(resolve, 10));
|
|
activeRuns -= 1;
|
|
return makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript: `USER Alice: hi\n\nASSISTANT openclaw: reply from ${params.primaryModel}`,
|
|
});
|
|
});
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) =>
|
|
JSON.stringify({
|
|
rankings: [
|
|
{ model: "openai/gpt-5.4", rank: 1, score: 8, summary: "ok" },
|
|
{ model: "anthropic/claude-sonnet-4-6", rank: 2, score: 7, summary: "ok" },
|
|
{ model: "moonshot/kimi-k2.5", rank: 3, score: 6, summary: "ok" },
|
|
],
|
|
}),
|
|
);
|
|
|
|
const result = await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: ["openai/gpt-5.4", "anthropic/claude-sonnet-4-6", "moonshot/kimi-k2.5"],
|
|
candidateConcurrency: 2,
|
|
judgeModels: ["openai/gpt-5.4"],
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(maxActiveRuns).toBe(2);
|
|
expect(result.runs.map((run) => run.model)).toEqual([
|
|
"openai/gpt-5.4",
|
|
"anthropic/claude-sonnet-4-6",
|
|
"moonshot/kimi-k2.5",
|
|
]);
|
|
});
|
|
|
|
it("defaults candidate and judge concurrency to sixteen", async () => {
|
|
let activeRuns = 0;
|
|
let maxActiveRuns = 0;
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) => {
|
|
activeRuns += 1;
|
|
maxActiveRuns = Math.max(maxActiveRuns, activeRuns);
|
|
await new Promise((resolve) => setTimeout(resolve, 10));
|
|
activeRuns -= 1;
|
|
return makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript: `USER Alice: hi\n\nASSISTANT openclaw: reply from ${params.primaryModel}`,
|
|
});
|
|
});
|
|
let activeJudges = 0;
|
|
let maxActiveJudges = 0;
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) => {
|
|
activeJudges += 1;
|
|
maxActiveJudges = Math.max(maxActiveJudges, activeJudges);
|
|
await new Promise((resolve) => setTimeout(resolve, 10));
|
|
activeJudges -= 1;
|
|
return JSON.stringify({
|
|
rankings: Array.from({ length: 20 }, (_, index) => ({
|
|
model: `provider/model-${index + 1}`,
|
|
rank: index + 1,
|
|
score: 10 - index,
|
|
summary: "ok",
|
|
})),
|
|
});
|
|
});
|
|
|
|
await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: Array.from({ length: 20 }, (_, index) => `provider/model-${index + 1}`),
|
|
judgeModels: Array.from({ length: 20 }, (_, index) => `judge/model-${index + 1}`),
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(maxActiveRuns).toBe(16);
|
|
expect(maxActiveJudges).toBe(16);
|
|
});
|
|
|
|
it("marks raw provider error transcripts as failed output", async () => {
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) =>
|
|
makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript:
|
|
"USER Alice: Are you awake?\n\nASSISTANT OpenClaw QA: 400 model `qwen3.6-plus` is not supported.",
|
|
}),
|
|
);
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) =>
|
|
JSON.stringify({
|
|
rankings: [{ model: "qwen/qwen3.6-plus", rank: 1, score: 0.5, summary: "failed" }],
|
|
}),
|
|
);
|
|
|
|
const result = await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: ["qwen/qwen3.6-plus"],
|
|
judgeModels: ["openai/gpt-5.4"],
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(result.runs[0]).toMatchObject({
|
|
model: "qwen/qwen3.6-plus",
|
|
status: "fail",
|
|
error: "model unsupported error leaked into transcript",
|
|
});
|
|
});
|
|
|
|
it("marks raw tool failure transcripts as failed output", async () => {
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) =>
|
|
makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript: "ASSISTANT OpenClaw QA: ⚠️ ✍️ Write: to /tmp/precious.html failed",
|
|
}),
|
|
);
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) =>
|
|
JSON.stringify({
|
|
rankings: [{ model: "qwen/qwen3.5-plus", rank: 1, score: 0.5, summary: "failed" }],
|
|
}),
|
|
);
|
|
|
|
const result = await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: ["qwen/qwen3.5-plus"],
|
|
judgeModels: ["openai/gpt-5.4"],
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(result.runs[0]).toMatchObject({
|
|
model: "qwen/qwen3.5-plus",
|
|
status: "fail",
|
|
error: "tool failure leaked into transcript",
|
|
});
|
|
});
|
|
|
|
it("marks generic channel fallback transcripts as failed output", async () => {
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) =>
|
|
makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript:
|
|
"ASSISTANT OpenClaw QA: ⚠️ Something went wrong while processing your request. Please try again, or use /new to start a fresh session.",
|
|
}),
|
|
);
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) =>
|
|
JSON.stringify({
|
|
rankings: [{ model: "qa/generic-fallback-model", rank: 1, score: 0.5, summary: "failed" }],
|
|
}),
|
|
);
|
|
|
|
const result = await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: ["qa/generic-fallback-model"],
|
|
judgeModels: ["openai/gpt-5.4"],
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(result.runs[0]).toMatchObject({
|
|
model: "qa/generic-fallback-model",
|
|
status: "fail",
|
|
error: "generic request failure leaked into transcript",
|
|
});
|
|
});
|
|
|
|
it("marks idle-timeout fallback transcripts as failed output", async () => {
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) =>
|
|
makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript:
|
|
"ASSISTANT OpenClaw QA: The model did not produce a response before the LLM idle timeout. Please try again, or increase `agents.defaults.llm.idleTimeoutSeconds` in your config.",
|
|
}),
|
|
);
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) =>
|
|
JSON.stringify({
|
|
rankings: [{ model: "google/gemini-test", rank: 1, score: 0.5, summary: "failed" }],
|
|
}),
|
|
);
|
|
|
|
const result = await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: ["google/gemini-test"],
|
|
judgeModels: ["openai/gpt-5.4"],
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(result.runs[0]).toMatchObject({
|
|
model: "google/gemini-test",
|
|
status: "fail",
|
|
error: "LLM timeout leaked into transcript",
|
|
});
|
|
});
|
|
|
|
it("lets explicit candidate thinking override the default panel", async () => {
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) =>
|
|
makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript: `USER Alice: hi\n\nASSISTANT openclaw: reply from ${params.primaryModel}`,
|
|
}),
|
|
);
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) =>
|
|
JSON.stringify({
|
|
rankings: [
|
|
{ model: "openai/gpt-5.4", rank: 1, score: 8, summary: "ok" },
|
|
{ model: "moonshot/kimi-k2.5", rank: 2, score: 7, summary: "ok" },
|
|
],
|
|
}),
|
|
);
|
|
|
|
await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: ["openai/gpt-5.4", "moonshot/kimi-k2.5"],
|
|
candidateThinkingDefault: "medium",
|
|
candidateThinkingByModel: { "moonshot/kimi-k2.5": "high" },
|
|
judgeModels: ["openai/gpt-5.4"],
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(runSuite.mock.calls.map(([params]) => params.thinkingDefault)).toEqual([
|
|
"medium",
|
|
"high",
|
|
]);
|
|
});
|
|
|
|
it("lets model-specific options override candidate and judge defaults", async () => {
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) =>
|
|
makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript: `USER Alice: hi\n\nASSISTANT openclaw: reply from ${params.primaryModel}`,
|
|
}),
|
|
);
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) =>
|
|
JSON.stringify({
|
|
rankings: [{ model: "openai/gpt-5.4", rank: 1, score: 8, summary: "ok" }],
|
|
}),
|
|
);
|
|
|
|
await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: ["openai/gpt-5.4", "moonshot/kimi-k2.5"],
|
|
candidateFastMode: true,
|
|
candidateThinkingDefault: "medium",
|
|
candidateModelOptions: {
|
|
"openai/gpt-5.4": { thinkingDefault: "xhigh", fastMode: false },
|
|
},
|
|
judgeModels: ["openai/gpt-5.4", "anthropic/claude-opus-4-6"],
|
|
judgeThinkingDefault: "medium",
|
|
judgeModelOptions: {
|
|
"openai/gpt-5.4": { thinkingDefault: "xhigh", fastMode: true },
|
|
"anthropic/claude-opus-4-6": { thinkingDefault: "high" },
|
|
},
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(runSuite.mock.calls.map(([params]) => params.thinkingDefault)).toEqual([
|
|
"xhigh",
|
|
"medium",
|
|
]);
|
|
expect(runSuite.mock.calls.map(([params]) => params.fastMode)).toEqual([false, true]);
|
|
expect(runJudge.mock.calls.map(([params]) => params.judgeThinkingDefault)).toEqual([
|
|
"xhigh",
|
|
"high",
|
|
]);
|
|
expect(runJudge.mock.calls.map(([params]) => params.judgeFastMode)).toEqual([true, false]);
|
|
});
|
|
|
|
it("keeps failed model runs in the report for grader context", async () => {
|
|
const runSuite = vi.fn(async (params: CharacterRunSuiteParams) => {
|
|
if (params.primaryModel === "codex-cli/test-model") {
|
|
throw new Error("backend unavailable");
|
|
}
|
|
return makeSuiteResult({
|
|
outputDir: params.outputDir,
|
|
model: params.primaryModel,
|
|
transcript: "USER Alice: hi\n\nASSISTANT openclaw: hello",
|
|
});
|
|
});
|
|
const runJudge = vi.fn(async (_params: CharacterRunJudgeParams) =>
|
|
JSON.stringify({
|
|
rankings: [{ model: "openai/gpt-5.4", rank: 1, score: 8, summary: "ok" }],
|
|
}),
|
|
);
|
|
|
|
const result = await runQaCharacterEval({
|
|
repoRoot: tempRoot,
|
|
outputDir: path.join(tempRoot, "character"),
|
|
models: ["openai/gpt-5.4", "codex-cli/test-model"],
|
|
judgeModels: ["openai/gpt-5.4"],
|
|
runSuite,
|
|
runJudge,
|
|
});
|
|
|
|
expect(result.runs.map((run) => run.status)).toEqual(["pass", "fail"]);
|
|
expect(result.runs[1]?.error).toContain("backend unavailable");
|
|
const report = await fs.readFile(result.reportPath, "utf8");
|
|
expect(report).toContain("backend unavailable");
|
|
});
|
|
});
|