2023-08-12 00:57:00 +08:00

51 lines
1.5 KiB
Python

import json
import os
from unittest.mock import patch
from core.model_providers.models.speech2text.openai_whisper import OpenAIWhisper
from core.model_providers.providers.openai_provider import OpenAIProvider
from models.provider import Provider, ProviderType
def get_mock_provider(valid_openai_api_key):
return Provider(
id='provider_id',
tenant_id='tenant_id',
provider_name='openai',
provider_type=ProviderType.CUSTOM.value,
encrypted_config=json.dumps({'openai_api_key': valid_openai_api_key}),
is_valid=True,
)
def get_mock_openai_whisper_model():
model_name = 'whisper-1'
valid_openai_api_key = os.environ['OPENAI_API_KEY']
openai_provider = OpenAIProvider(provider=get_mock_provider(valid_openai_api_key))
return OpenAIWhisper(
model_provider=openai_provider,
name=model_name
)
def decrypt_side_effect(tenant_id, encrypted_openai_api_key):
return encrypted_openai_api_key
@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
def test_run(mock_decrypt):
# Get the directory of the current file
current_dir = os.path.dirname(os.path.abspath(__file__))
# Construct the path to the audio file
audio_file_path = os.path.join(current_dir, 'audio.mp3')
model = get_mock_openai_whisper_model()
# Open the file and get the file object
with open(audio_file_path, 'rb') as audio_file:
rst = model.run(audio_file)
assert isinstance(rst, dict)
assert rst['text'] == '1, 2, 3, 4, 5, 6, 7, 8, 9, 10'