feat: server multi models support (#799)

api/tests/integration_tests/models/speech2text/test_openai_whisper.py

@@ -0,0 +1,50 @@
+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'