feat(tts): add voice upload API for Qwen3-TTS (#1201)

Signed-off-by: linyueqian <linyueqian@outlook.com>
Co-authored-by: linyueqian <linyueqian@outlook.com>
Co-authored-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com>
This commit is contained in:
authored and GitHub committed 2026-03-09 11:02:11 +08:00
1 parent 382bbd0a1f
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@@ -1,11 +1,15 @@
# tests/entrypoints/openai/test_serving_speech.py
import logging
import os
from inspect import Signature, signature
from pathlib import Path
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
import torch
from fastapi import FastAPI
from fastapi import FastAPI, HTTPException, UploadFile
from fastapi.params import File, Form
from fastapi.testclient import TestClient
from pydantic import ValidationError
from pytest_mock import MockerFixture
@@ -206,10 +210,52 @@ def test_app(mocker: MockerFixture):
# Add list_voices endpoint
async def list_voices():
speakers = sorted(speech_server.supported_speakers) if speech_server.supported_speakers else []
return {"voices": speakers}
uploaded_voices = []
if hasattr(speech_server, "uploaded_speakers"):
for voice_name, info in speech_server.uploaded_speakers.items():
uploaded_voices.append(
{
"name": info.get("name", voice_name),
"consent": info.get("consent", ""),
"created_at": info.get("created_at", 0),
"file_size": info.get("file_size", 0),
"mime_type": info.get("mime_type", ""),
}
)
return {"voices": speakers, "uploaded_voices": uploaded_voices}
app.add_api_route("/v1/audio/voices", list_voices, methods=["GET"])
# Add upload_voice endpoint
async def upload_voice(audio_sample: UploadFile = File(...), consent: str = Form(...), name: str = Form(...)):
try:
result = await speech_server.upload_voice(audio_sample, consent, name)
return {"success": True, "voice": result}
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except Exception as e:
logger.exception(f"Failed to upload voice: {e}")
raise HTTPException(status_code=500, detail=f"Failed to upload voice: {str(e)}")
app.add_api_route("/v1/audio/voices", upload_voice, methods=["POST"])
# Add delete_voice endpoint
async def delete_voice(name: str):
try:
success = await speech_server.delete_voice(name)
if not success:
raise HTTPException(status_code=404, detail=f"Voice '{name}' not found")
return {"success": True, "message": f"Voice '{name}' deleted successfully"}
except HTTPException:
raise
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except Exception as e:
logger.exception(f"Failed to delete voice '{name}': {e}")
raise HTTPException(status_code=500, detail=f"Failed to delete voice: {str(e)}")
app.add_api_route("/v1/audio/voices/{name}", delete_voice, methods=["DELETE"])
return app
@@ -284,6 +330,149 @@ class TestSpeechAPI:
assert response.status_code == 200
assert "voices" in response.json()
def test_upload_voice_success(self, client, tmp_path):
"""Test successful voice upload."""
# Create a mock audio file
audio_content = b"fake audio content" * 1000 # ~17KB
files = {
"audio_sample": ("test.wav", audio_content, "audio/wav"),
}
data = {
"consent": "user_consent_123",
"name": "test_voice",
}
response = client.post("/v1/audio/voices", files=files, data=data)
assert response.status_code == 200
result = response.json()
assert result["success"] is True
assert "voice" in result
voice_info = result["voice"]
assert voice_info["name"] == "test_voice"
assert voice_info["consent"] == "user_consent_123"
assert "created_at" in voice_info
assert voice_info["mime_type"] == "audio/wav"
assert voice_info["file_size"] == len(audio_content)
response = client.delete("/v1/audio/voices/test_voice")
def test_upload_voice_file_too_large(self, client):
"""Test voice upload with file exceeding size limit."""
# Create a file larger than 10MB
audio_content = b"x" * (11 * 1024 * 1024) # 11MB
files = {
"audio_sample": ("test.wav", audio_content, "audio/wav"),
}
data = {
"consent": "user_consent_123",
"name": "test_voice",
}
response = client.post("/v1/audio/voices", files=files, data=data)
assert response.status_code == 400
result = response.json()
assert "detail" in result
assert "10MB" in result["detail"]
def test_upload_voice_invalid_mime_type(self, client):
"""Test voice upload with invalid MIME type."""
audio_content = b"fake audio content"
files = {
"audio_sample": ("test.txt", audio_content, "text/plain"),
}
data = {
"consent": "user_consent_123",
"name": "test_voice",
}
response = client.post("/v1/audio/voices", files=files, data=data)
assert response.status_code == 400
result = response.json()
assert "detail" in result
assert "MIME type" in result["detail"]
def test_upload_voice_name_collision(self, client):
"""Test voice upload with duplicate name."""
# First upload
audio_content = b"fake audio content"
files = {
"audio_sample": ("test.wav", audio_content, "audio/wav"),
}
data = {
"consent": "user_consent_123",
"name": "test_voice",
}
response = client.post("/v1/audio/voices", files=files, data=data)
assert response.status_code == 200
# Second upload with same name
response = client.post("/v1/audio/voices", files=files, data=data)
assert response.status_code == 400
result = response.json()
assert "detail" in result
assert "already exists" in result["detail"]
response = client.delete("/v1/audio/voices/test_voice")
def test_upload_voice_missing_parameters(self, client):
"""Test voice upload with missing required parameters."""
audio_content = b"fake audio content"
files = {
"audio_sample": ("test.wav", audio_content, "audio/wav"),
}
# Missing consent
data = {"name": "test_voice5"}
response = client.post("/v1/audio/voices", files=files, data=data)
assert response.status_code == 422 # Validation error
# Missing name
data = {"consent": "user_consent_123"}
response = client.post("/v1/audio/voices", files=files, data=data)
assert response.status_code == 422 # Validation error
# Missing file
data = {
"consent": "user_consent_123",
"name": "test_voice6",
}
response = client.post("/v1/audio/voices", data=data)
assert response.status_code == 422 # Validation error
def test_delete_voice_success(self, client):
"""Test successful voice deletion."""
# First upload a voice
audio_content = b"fake audio content"
files = {
"audio_sample": ("test.wav", audio_content, "audio/wav"),
}
data = {
"consent": "user_consent_123",
"name": "test_voice7",
}
response = client.post("/v1/audio/voices", files=files, data=data)
assert response.status_code == 200
# Then delete it
response = client.delete("/v1/audio/voices/test_voice7")
assert response.status_code == 200
result = response.json()
assert result["success"] is True
assert "deleted successfully" in result["message"]
# Verify it's gone by trying to delete again
response = client.delete("/v1/audio/voices/test_voice7")
assert response.status_code == 404
result = response.json()
assert "not found" in result["detail"]
def test_delete_voice_not_found(self, client):
"""Test deleting a non-existent voice."""
response = client.delete("/v1/audio/voices/nonexistent")
assert response.status_code == 404
result = response.json()
assert "not found" in result["detail"]
class TestTTSMethods:
"""Unit tests for TTS validation and parameter building."""
@@ -438,6 +627,121 @@ class TestTTSMethods:
# Verify speakers are normalized to lowercase
assert server.supported_speakers == {"ryan", "vivian", "aiden"}
def test_build_tts_params_with_uploaded_voice(self, speech_server):
"""Test _build_tts_params auto-sets ref_audio for uploaded voices."""
# Mock an uploaded speaker
speech_server.uploaded_speakers = {
"custom_voice": {
"name": "custom_voice",
"file_path": "/tmp/voice_samples/custom_voice_consent_123.wav",
"mime_type": "audio/wav",
}
}
speech_server.supported_speakers = {"ryan", "vivian", "custom_voice"}
# Mock _get_uploaded_audio_data to return base64 data
with patch.object(speech_server, "_get_uploaded_audio_data") as mock_get_audio:
mock_get_audio.return_value = "data:audio/wav;base64,ZmFrZWF1ZGlv"
req = OpenAICreateSpeechRequest(input="Hello", voice="custom_voice", task_type="Base")
params = speech_server._build_tts_params(req)
# Verify ref_audio was auto-set
assert "ref_audio" in params
assert params["ref_audio"] == ["data:audio/wav;base64,ZmFrZWF1ZGlv"]
assert "x_vector_only_mode" in params
assert params["x_vector_only_mode"] == [True]
mock_get_audio.assert_called_once_with("custom_voice")
def test_build_tts_params_without_uploaded_voice(self, speech_server):
"""Test _build_tts_params does not auto-set ref_audio for non-uploaded voices."""
# No uploaded speakers
speech_server.uploaded_speakers = {}
speech_server.supported_speakers = {"ryan", "vivian"}
req = OpenAICreateSpeechRequest(input="Hello", voice="ryan", task_type="Base")
params = speech_server._build_tts_params(req)
# Verify ref_audio was NOT auto-set
assert "ref_audio" not in params
assert "x_vector_only_mode" not in params
def test_build_tts_params_with_explicit_ref_audio(self, speech_server):
"""Test _build_tts_params uses explicit ref_audio even for uploaded voices."""
# Mock an uploaded speaker
speech_server.uploaded_speakers = {
"custom_voice": {
"name": "custom_voice",
"file_path": "/tmp/voice_samples/custom_voice_consent_123.wav",
"mime_type": "audio/wav",
}
}
speech_server.supported_speakers = {"ryan", "vivian", "custom_voice"}
req = OpenAICreateSpeechRequest(
input="Hello", voice="custom_voice", task_type="Base", ref_audio="data:audio/wav;base64,ZXhwbGljaXQ="
)
params = speech_server._build_tts_params(req)
# _build_tts_params should NOT auto-set ref_audio when explicit ref_audio
# is provided (request.ref_audio is not None skips the auto-set branch).
# The explicit ref_audio is resolved later in create_speech() via
# _resolve_ref_audio(), not in _build_tts_params().
assert "ref_audio" not in params
# x_vector_only_mode should not be set when explicit ref_audio is provided
assert "x_vector_only_mode" not in params
def test_get_uploaded_audio_data(self, speech_server):
"""Test _get_uploaded_audio_data function."""
# Mock file operations
with (
patch("builtins.open", create=True) as mock_open,
patch("base64.b64encode") as mock_b64encode,
patch("pathlib.Path.exists") as mock_exists,
):
mock_exists.return_value = True
mock_b64encode.return_value = b"ZmFrZWF1ZGlv"
# Setup mock file
mock_file = MagicMock()
mock_file.read.return_value = b"fakeaudio"
mock_open.return_value.__enter__.return_value = mock_file
# Setup uploaded speaker
speech_server.uploaded_speakers = {
"test_voice": {"name": "test_voice", "file_path": "/tmp/test.wav", "mime_type": "audio/wav"}
}
result = speech_server._get_uploaded_audio_data("test_voice")
assert result == "data:audio/wav;base64,ZmFrZWF1ZGlv"
mock_open.assert_called_once_with(Path("/tmp/test.wav"), "rb")
mock_b64encode.assert_called_once_with(b"fakeaudio")
def test_get_uploaded_audio_data_missing_file(self, speech_server):
"""Test _get_uploaded_audio_data when file is missing."""
with patch("pathlib.Path.exists") as mock_exists:
mock_exists.return_value = False
# Setup uploaded speaker
speech_server.uploaded_speakers = {
"test_voice": {"name": "test_voice", "file_path": "/tmp/test.wav", "mime_type": "audio/wav"}
}
result = speech_server._get_uploaded_audio_data("test_voice")
assert result is None
def test_get_uploaded_audio_data_voice_not_found(self, speech_server):
"""Test _get_uploaded_audio_data when voice is not in uploaded_speakers."""
speech_server.uploaded_speakers = {}
result = speech_server._get_uploaded_audio_data("nonexistent")
assert result is None
def test_max_instructions_length_default(self, speech_server):
"""Test default max instructions length (500) when no config provided."""
# Fixture creates server with no CLI override and no TTS stage
@@ -544,6 +848,70 @@ class TestTTSMethods:
assert "max 10 characters" in error
class TestFileValidationFunctions:
"""Unit tests for file validation helper functions."""
def test_sanitize_filename(self):
"""Test _sanitize_filename function."""
from vllm_omni.entrypoints.openai.serving_speech import _sanitize_filename
# Test normal filenames
assert _sanitize_filename("test.wav") == "test.wav"
assert _sanitize_filename("test-file.mp3") == "test-file.mp3"
assert _sanitize_filename("test_file.flac") == "test_file.flac"
# Test path traversal attempts
assert _sanitize_filename("../../../etc/passwd") == "passwd"
assert _sanitize_filename("/absolute/path/file.wav") == "file.wav"
# Test special characters
assert _sanitize_filename("file with spaces.wav") == "file_with_spaces.wav"
assert _sanitize_filename("file&with&special&chars.wav") == "file_with_special_chars.wav"
assert _sanitize_filename("file@with#special$chars%.wav") == "file_with_special_chars_.wav"
# Test empty filename
assert _sanitize_filename("") == "file"
# Test very long filename
long_name = "a" * 300
sanitized = _sanitize_filename(long_name)
assert len(sanitized) == 255
assert sanitized.startswith("a")
def test_validate_path_within_directory(self, tmp_path):
"""Test _validate_path_within_directory function."""
from vllm_omni.entrypoints.openai.serving_speech import _validate_path_within_directory
# Create test directory structure
base_dir = tmp_path / "uploads"
base_dir.mkdir()
# Valid paths within directory
valid_file = base_dir / "test.wav"
valid_subdir_file = base_dir / "subdir" / "test.wav"
valid_subdir_file.parent.mkdir()
assert _validate_path_within_directory(valid_file, base_dir) is True
assert _validate_path_within_directory(valid_subdir_file, base_dir) is True
# Invalid paths outside directory
outside_file = tmp_path / "outside.wav"
assert _validate_path_within_directory(outside_file, base_dir) is False
# Test with symlink (should fail)
if hasattr(os, "symlink"):
link_target = tmp_path / "target.wav"
link_target.touch()
symlink = base_dir / "link.wav"
os.symlink(link_target, symlink)
# Symlinks to outside should be rejected
assert _validate_path_within_directory(symlink, base_dir) is False
# Test with non-existent file (should still validate path)
non_existent = base_dir / "nonexistent.wav"
assert _validate_path_within_directory(non_existent, base_dir) is True
class TestStreamingProtocolValidation:
"""Unit tests for the stream field validators in OpenAICreateSpeechRequest."""