test: consolidate media auto-detect coverage
This commit is contained in:
@@ -1,223 +0,0 @@
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import fs from "node:fs/promises";
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import path from "node:path";
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import { afterEach, beforeEach, describe, expect, it } from "vitest";
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import type { MsgContext } from "../src/auto-reply/templating.js";
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import type { OpenClawConfig } from "../src/config/config.js";
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import { resolvePreferredOpenClawTmpDir } from "../src/infra/tmp-openclaw-dir.js";
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import { applyMediaUnderstanding } from "../src/media-understanding/apply.js";
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import { clearMediaUnderstandingBinaryCacheForTests } from "../src/media-understanding/runner.js";
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const makeTempDir = async (prefix: string) => {
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const baseDir = resolvePreferredOpenClawTmpDir();
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await fs.mkdir(baseDir, { recursive: true });
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return await fs.mkdtemp(path.join(baseDir, prefix));
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};
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const writeExecutable = async (dir: string, name: string, content: string) => {
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const filePath = path.join(dir, name);
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await fs.writeFile(filePath, content, { mode: 0o755 });
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return filePath;
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};
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const makeTempMedia = async (ext: string) => {
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const dir = await makeTempDir("openclaw-media-e2e-");
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const filePath = path.join(dir, `sample${ext}`);
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await fs.writeFile(filePath, "audio");
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return { dir, filePath };
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};
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const envSnapshot = () => ({
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PATH: process.env.PATH,
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SHERPA_ONNX_MODEL_DIR: process.env.SHERPA_ONNX_MODEL_DIR,
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WHISPER_CPP_MODEL: process.env.WHISPER_CPP_MODEL,
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OPENAI_API_KEY: process.env.OPENAI_API_KEY,
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GROQ_API_KEY: process.env.GROQ_API_KEY,
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DEEPGRAM_API_KEY: process.env.DEEPGRAM_API_KEY,
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GEMINI_API_KEY: process.env.GEMINI_API_KEY,
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OPENCLAW_AGENT_DIR: process.env.OPENCLAW_AGENT_DIR,
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PI_CODING_AGENT_DIR: process.env.PI_CODING_AGENT_DIR,
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});
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const restoreEnv = (snapshot: ReturnType<typeof envSnapshot>) => {
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const restoreEnvVar = (key: string, value: string | undefined) => {
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if (value === undefined) {
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delete process.env[key];
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} else {
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process.env[key] = value;
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}
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};
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restoreEnvVar("PATH", snapshot.PATH);
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restoreEnvVar("SHERPA_ONNX_MODEL_DIR", snapshot.SHERPA_ONNX_MODEL_DIR);
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restoreEnvVar("WHISPER_CPP_MODEL", snapshot.WHISPER_CPP_MODEL);
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restoreEnvVar("OPENAI_API_KEY", snapshot.OPENAI_API_KEY);
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restoreEnvVar("GROQ_API_KEY", snapshot.GROQ_API_KEY);
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restoreEnvVar("DEEPGRAM_API_KEY", snapshot.DEEPGRAM_API_KEY);
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restoreEnvVar("GEMINI_API_KEY", snapshot.GEMINI_API_KEY);
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restoreEnvVar("OPENCLAW_AGENT_DIR", snapshot.OPENCLAW_AGENT_DIR);
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restoreEnvVar("PI_CODING_AGENT_DIR", snapshot.PI_CODING_AGENT_DIR);
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};
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const withEnvSnapshot = async <T>(run: () => Promise<T>): Promise<T> => {
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const snapshot = envSnapshot();
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try {
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return await run();
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} finally {
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restoreEnv(snapshot);
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}
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};
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const createTrackedTempDir = async (tempPaths: string[], prefix: string) => {
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const dir = await makeTempDir(prefix);
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tempPaths.push(dir);
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return dir;
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};
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const createTrackedTempMedia = async (tempPaths: string[], ext: string) => {
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const media = await makeTempMedia(ext);
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tempPaths.push(media.dir);
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return media.filePath;
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};
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describe("media understanding auto-detect (e2e)", () => {
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let tempPaths: string[] = [];
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beforeEach(() => {
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clearMediaUnderstandingBinaryCacheForTests();
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});
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afterEach(async () => {
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for (const p of tempPaths) {
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await fs.rm(p, { recursive: true, force: true }).catch(() => {});
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}
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tempPaths = [];
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});
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it.skipIf(process.platform === "win32")("uses sherpa-onnx-offline when available", async () => {
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await withEnvSnapshot(async () => {
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const binDir = await createTrackedTempDir(tempPaths, "openclaw-bin-sherpa-");
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const modelDir = await createTrackedTempDir(tempPaths, "openclaw-sherpa-model-");
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await fs.writeFile(path.join(modelDir, "tokens.txt"), "a");
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await fs.writeFile(path.join(modelDir, "encoder.onnx"), "a");
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await fs.writeFile(path.join(modelDir, "decoder.onnx"), "a");
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await fs.writeFile(path.join(modelDir, "joiner.onnx"), "a");
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await writeExecutable(
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binDir,
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"sherpa-onnx-offline",
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`#!/usr/bin/env bash\necho "{\\"text\\":\\"sherpa ok\\"}"\n`,
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);
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process.env.PATH = `${binDir}:/usr/bin:/bin`;
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process.env.SHERPA_ONNX_MODEL_DIR = modelDir;
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const filePath = await createTrackedTempMedia(tempPaths, ".wav");
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const ctx: MsgContext = {
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Body: "<media:audio>",
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MediaPath: filePath,
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MediaType: "audio/wav",
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};
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const cfg: OpenClawConfig = { tools: { media: { audio: {} } } };
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await applyMediaUnderstanding({ ctx, cfg });
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expect(ctx.Transcript).toBe("sherpa ok");
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});
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});
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it.skipIf(process.platform === "win32")("uses whisper-cli when sherpa is missing", async () => {
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await withEnvSnapshot(async () => {
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const binDir = await createTrackedTempDir(tempPaths, "openclaw-bin-whispercpp-");
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const modelDir = await createTrackedTempDir(tempPaths, "openclaw-whispercpp-model-");
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const modelPath = path.join(modelDir, "tiny.bin");
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await fs.writeFile(modelPath, "model");
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await writeExecutable(
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binDir,
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"whisper-cli",
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"#!/usr/bin/env bash\n" +
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'out=""\n' +
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'prev=""\n' +
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'for arg in "$@"; do\n' +
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' if [ "$prev" = "-of" ]; then out="$arg"; break; fi\n' +
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' prev="$arg"\n' +
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"done\n" +
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'if [ -n "$out" ]; then echo \'whisper cpp ok\' > "${out}.txt"; fi\n',
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);
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process.env.PATH = `${binDir}:/usr/bin:/bin`;
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process.env.WHISPER_CPP_MODEL = modelPath;
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const filePath = await createTrackedTempMedia(tempPaths, ".wav");
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const ctx: MsgContext = {
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Body: "<media:audio>",
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MediaPath: filePath,
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MediaType: "audio/wav",
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};
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const cfg: OpenClawConfig = { tools: { media: { audio: {} } } };
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await applyMediaUnderstanding({ ctx, cfg });
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expect(ctx.Transcript).toBe("whisper cpp ok");
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});
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});
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it.skipIf(process.platform === "win32")("uses gemini CLI for images when available", async () => {
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await withEnvSnapshot(async () => {
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const binDir = await createTrackedTempDir(tempPaths, "openclaw-bin-gemini-");
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await writeExecutable(
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binDir,
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"gemini",
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`#!/usr/bin/env bash\necho '{"response":"gemini ok"}'\n`,
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);
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process.env.PATH = `${binDir}:/usr/bin:/bin`;
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const filePath = await createTrackedTempMedia(tempPaths, ".png");
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const ctx: MsgContext = {
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Body: "<media:image>",
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MediaPath: filePath,
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MediaType: "image/png",
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};
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const cfg: OpenClawConfig = { tools: { media: { image: {} } } };
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await applyMediaUnderstanding({ ctx, cfg });
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expect(ctx.Body).toContain("gemini ok");
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});
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});
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it("skips auto-detect when no supported binaries are available", async () => {
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await withEnvSnapshot(async () => {
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const emptyBinDir = await createTrackedTempDir(tempPaths, "openclaw-bin-empty-");
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const isolatedAgentDir = await createTrackedTempDir(tempPaths, "openclaw-agent-empty-");
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process.env.PATH = emptyBinDir;
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delete process.env.SHERPA_ONNX_MODEL_DIR;
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delete process.env.WHISPER_CPP_MODEL;
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delete process.env.OPENAI_API_KEY;
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delete process.env.GROQ_API_KEY;
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delete process.env.DEEPGRAM_API_KEY;
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delete process.env.GEMINI_API_KEY;
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process.env.OPENCLAW_AGENT_DIR = isolatedAgentDir;
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process.env.PI_CODING_AGENT_DIR = isolatedAgentDir;
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const filePath = await createTrackedTempMedia(tempPaths, ".wav");
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const ctx: MsgContext = {
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Body: "<media:audio>",
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MediaPath: filePath,
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MediaType: "audio/wav",
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};
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const cfg: OpenClawConfig = { tools: { media: { audio: {} } } };
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await applyMediaUnderstanding({ ctx, cfg });
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expect(ctx.Transcript).toBeUndefined();
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expect(ctx.Body).toBe("<media:audio>");
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});
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});
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});
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