Nora / tests /test_asr_service.py
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"""Unit tests for ASR service.
This module contains unit tests for the ASRService class, testing
API call success scenarios, failure scenarios, and edge cases.
Requirements: 2.1, 2.2, 2.3, 2.4
"""
import pytest
from unittest.mock import AsyncMock, MagicMock
import httpx
from app.asr_service import ASRService, ASRServiceError
@pytest.fixture
def asr_service():
"""Create an ASRService instance for testing."""
return ASRService(api_key="test_api_key_12345")
@pytest.fixture
def mock_audio_file():
"""Create mock audio file bytes."""
return b"fake_audio_data_for_testing"
@pytest.mark.asyncio
async def test_asr_service_initialization(asr_service):
"""Test ASR service initialization.
Requirements: 2.1
"""
assert asr_service.api_key == "test_api_key_12345"
assert asr_service.model == "glm-asr-2512"
assert asr_service.api_url == "https://api.z.ai/api/paas/v4/audio/transcriptions"
assert isinstance(asr_service.client, httpx.AsyncClient)
# Clean up
await asr_service.close()
@pytest.mark.asyncio
async def test_transcribe_success(asr_service, mock_audio_file, mocker):
"""Test successful transcription.
Requirements: 2.1, 2.2
"""
# Mock successful API response
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {
"id": "test_id",
"created": 1234567890,
"request_id": "test_request_id",
"model": "glm-asr-2512",
"text": "这是一段测试语音转写的文本内容"
}
# Mock the HTTP client post method
mock_post = mocker.patch.object(
asr_service.client,
'post',
return_value=mock_response
)
# Call transcribe
result = await asr_service.transcribe(mock_audio_file, "test.mp3")
# Verify result
assert result == "这是一段测试语音转写的文本内容"
# Verify API was called correctly
mock_post.assert_called_once()
call_args = mock_post.call_args
assert call_args.kwargs['headers']['Authorization'] == "Bearer test_api_key_12345"
assert call_args.kwargs['data']['model'] == "glm-asr-2512"
assert call_args.kwargs['data']['stream'] == "false"
# Clean up
await asr_service.close()
@pytest.mark.asyncio
async def test_transcribe_empty_result(asr_service, mock_audio_file, mocker):
"""Test transcription with empty recognition result.
This tests the edge case where the audio cannot be recognized
and the API returns an empty text field.
Requirements: 2.4
"""
# Mock API response with empty text
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {
"id": "test_id",
"created": 1234567890,
"request_id": "test_request_id",
"model": "glm-asr-2512",
"text": ""
}
# Mock the HTTP client post method
mocker.patch.object(
asr_service.client,
'post',
return_value=mock_response
)
# Call transcribe
result = await asr_service.transcribe(mock_audio_file, "empty.mp3")
# Verify result is empty string
assert result == ""
# Clean up
await asr_service.close()
@pytest.mark.asyncio
async def test_transcribe_whitespace_only_result(asr_service, mock_audio_file, mocker):
"""Test transcription with whitespace-only result.
Requirements: 2.4
"""
# Mock API response with whitespace-only text
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {
"id": "test_id",
"created": 1234567890,
"request_id": "test_request_id",
"model": "glm-asr-2512",
"text": " \n\t "
}
# Mock the HTTP client post method
mocker.patch.object(
asr_service.client,
'post',
return_value=mock_response
)
# Call transcribe
result = await asr_service.transcribe(mock_audio_file, "whitespace.mp3")
# Verify result is empty string
assert result == ""
# Clean up
await asr_service.close()
@pytest.mark.asyncio
async def test_transcribe_api_error_status(asr_service, mock_audio_file, mocker):
"""Test transcription when API returns error status code.
Requirements: 2.3
"""
# Mock API error response
mock_response = MagicMock()
mock_response.status_code = 500
mock_response.json.return_value = {
"error": {
"message": "Internal server error",
"code": "internal_error"
}
}
mock_response.text = "Internal server error"
# Mock the HTTP client post method
mocker.patch.object(
asr_service.client,
'post',
return_value=mock_response
)
# Call transcribe and expect exception
with pytest.raises(ASRServiceError) as exc_info:
await asr_service.transcribe(mock_audio_file, "error.mp3")
# Verify error message
assert "语音识别服务不可用" in str(exc_info.value)
# Clean up
await asr_service.close()
@pytest.mark.asyncio
async def test_transcribe_api_timeout(asr_service, mock_audio_file, mocker):
"""Test transcription when API request times out.
Requirements: 2.3
"""
# Mock timeout exception
mocker.patch.object(
asr_service.client,
'post',
side_effect=httpx.TimeoutException("Request timeout")
)
# Call transcribe and expect exception
with pytest.raises(ASRServiceError) as exc_info:
await asr_service.transcribe(mock_audio_file, "timeout.mp3")
# Verify error message
assert "语音识别服务不可用" in str(exc_info.value)
assert "请求超时" in str(exc_info.value)
# Clean up
await asr_service.close()
@pytest.mark.asyncio
async def test_transcribe_network_error(asr_service, mock_audio_file, mocker):
"""Test transcription when network error occurs.
Requirements: 2.3
"""
# Mock network error
mocker.patch.object(
asr_service.client,
'post',
side_effect=httpx.RequestError("Network error")
)
# Call transcribe and expect exception
with pytest.raises(ASRServiceError) as exc_info:
await asr_service.transcribe(mock_audio_file, "network_error.mp3")
# Verify error message
assert "语音识别服务不可用" in str(exc_info.value)
assert "网络错误" in str(exc_info.value)
# Clean up
await asr_service.close()
@pytest.mark.asyncio
async def test_transcribe_invalid_json_response(asr_service, mock_audio_file, mocker):
"""Test transcription when API returns invalid JSON.
Requirements: 2.3
"""
# Mock response with invalid JSON
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.side_effect = ValueError("Invalid JSON")
# Mock the HTTP client post method
mocker.patch.object(
asr_service.client,
'post',
return_value=mock_response
)
# Call transcribe and expect exception
with pytest.raises(ASRServiceError) as exc_info:
await asr_service.transcribe(mock_audio_file, "invalid_json.mp3")
# Verify error message
assert "语音识别服务不可用" in str(exc_info.value)
assert "响应格式无效" in str(exc_info.value)
# Clean up
await asr_service.close()
@pytest.mark.asyncio
async def test_transcribe_missing_text_field(asr_service, mock_audio_file, mocker):
"""Test transcription when API response is missing text field.
Requirements: 2.3
"""
# Mock response without text field
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {
"id": "test_id",
"created": 1234567890,
"request_id": "test_request_id",
"model": "glm-asr-2512"
# Missing "text" field
}
# Mock the HTTP client post method
mocker.patch.object(
asr_service.client,
'post',
return_value=mock_response
)
# Call transcribe - should return empty string when text field is missing
result = await asr_service.transcribe(mock_audio_file, "missing_text.mp3")
# Verify result is empty string
assert result == ""
# Clean up
await asr_service.close()
@pytest.mark.asyncio
async def test_transcribe_unexpected_exception(asr_service, mock_audio_file, mocker):
"""Test transcription when unexpected exception occurs.
Requirements: 2.3
"""
# Mock unexpected exception
mocker.patch.object(
asr_service.client,
'post',
side_effect=Exception("Unexpected error")
)
# Call transcribe and expect exception
with pytest.raises(ASRServiceError) as exc_info:
await asr_service.transcribe(mock_audio_file, "unexpected.mp3")
# Verify error message
assert "语音识别服务不可用" in str(exc_info.value)
# Clean up
await asr_service.close()
@pytest.mark.asyncio
async def test_close_client(asr_service):
"""Test closing the HTTP client.
Requirements: 2.1
"""
# Verify client is open
assert not asr_service.client.is_closed
# Close the client
await asr_service.close()
# Verify client is closed
assert asr_service.client.is_closed