150 lines
4.0 KiB
TypeScript
150 lines
4.0 KiB
TypeScript
import fs from "node:fs/promises";
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import os from "node:os";
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import path from "node:path";
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import { describe, expect, it } from "vitest";
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import type { MsgContext } from "../auto-reply/templating.js";
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import type { OpenClawConfig } from "../config/config.js";
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import {
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buildProviderRegistry,
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createMediaAttachmentCache,
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normalizeMediaAttachments,
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runCapability,
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} from "./runner.js";
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async function withAudioFixture(
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run: (params: {
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ctx: MsgContext;
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media: ReturnType<typeof normalizeMediaAttachments>;
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cache: ReturnType<typeof createMediaAttachmentCache>;
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}) => Promise<void>,
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) {
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const originalPath = process.env.PATH;
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process.env.PATH = "/usr/bin:/bin";
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const tmpPath = path.join(os.tmpdir(), `openclaw-auto-audio-${Date.now()}.wav`);
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await fs.writeFile(tmpPath, Buffer.from("RIFF"));
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const ctx: MsgContext = { MediaPath: tmpPath, MediaType: "audio/wav" };
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const media = normalizeMediaAttachments(ctx);
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const cache = createMediaAttachmentCache(media, {
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localPathRoots: [os.tmpdir()],
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});
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try {
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await run({ ctx, media, cache });
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} finally {
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process.env.PATH = originalPath;
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await cache.cleanup();
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await fs.unlink(tmpPath).catch(() => {});
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}
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}
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function createOpenAiAudioProvider(
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transcribeAudio: (req: { model?: string }) => Promise<{ text: string; model: string }>,
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) {
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return buildProviderRegistry({
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openai: {
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id: "openai",
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capabilities: ["audio"],
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transcribeAudio,
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},
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});
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}
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function createOpenAiAudioCfg(extra?: Partial<OpenClawConfig>): OpenClawConfig {
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return {
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models: {
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providers: {
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openai: {
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apiKey: "test-key",
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models: [],
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},
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},
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},
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...extra,
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} as unknown as OpenClawConfig;
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}
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describe("runCapability auto audio entries", () => {
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it("uses provider keys to auto-enable audio transcription", async () => {
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await withAudioFixture(async ({ ctx, media, cache }) => {
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let seenModel: string | undefined;
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const providerRegistry = createOpenAiAudioProvider(async (req) => {
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seenModel = req.model;
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return { text: "ok", model: req.model ?? "unknown" };
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});
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const cfg = createOpenAiAudioCfg();
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const result = await runCapability({
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capability: "audio",
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cfg,
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ctx,
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attachments: cache,
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media,
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providerRegistry,
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});
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expect(result.outputs[0]?.text).toBe("ok");
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expect(seenModel).toBe("gpt-4o-mini-transcribe");
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expect(result.decision.outcome).toBe("success");
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});
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});
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it("skips auto audio when disabled", async () => {
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await withAudioFixture(async ({ ctx, media, cache }) => {
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const providerRegistry = createOpenAiAudioProvider(async () => ({
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text: "ok",
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model: "whisper-1",
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}));
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const cfg = createOpenAiAudioCfg({
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tools: {
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media: {
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audio: {
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enabled: false,
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},
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},
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},
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});
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const result = await runCapability({
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capability: "audio",
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cfg,
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ctx,
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attachments: cache,
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media,
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providerRegistry,
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});
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expect(result.outputs).toHaveLength(0);
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expect(result.decision.outcome).toBe("disabled");
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});
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});
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it("prefers explicitly configured audio model entries", async () => {
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await withAudioFixture(async ({ ctx, media, cache }) => {
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let seenModel: string | undefined;
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const providerRegistry = createOpenAiAudioProvider(async (req) => {
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seenModel = req.model;
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return { text: "ok", model: req.model ?? "unknown" };
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});
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const cfg = createOpenAiAudioCfg({
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tools: {
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media: {
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audio: {
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models: [{ provider: "openai", model: "whisper-1" }],
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},
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},
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},
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});
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const result = await runCapability({
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capability: "audio",
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cfg,
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ctx,
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attachments: cache,
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media,
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providerRegistry,
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});
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expect(result.outputs[0]?.text).toBe("ok");
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expect(seenModel).toBe("whisper-1");
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});
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});
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});
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