feat: server multi models support (#799)

api/tests/integration_tests/models/embedding/test_azure_openai_embedding.py

@@ -0,0 +1,57 @@
+import json
+import os
+from unittest.mock import patch, MagicMock
+
+from core.model_providers.models.entity.model_params import ModelType
+from core.model_providers.providers.azure_openai_provider import AzureOpenAIProvider
+from core.model_providers.models.embedding.azure_openai_embedding import AzureOpenAIEmbedding
+from models.provider import Provider, ProviderType, ProviderModel
+
+
+def get_mock_provider():
+    return Provider(
+        id='provider_id',
+        tenant_id='tenant_id',
+        provider_name='azure_openai',
+        provider_type=ProviderType.CUSTOM.value,
+        encrypted_config='',
+        is_valid=True,
+    )
+
+
+def get_mock_azure_openai_embedding_model(mocker):
+    model_name = 'text-embedding-ada-002'
+    valid_openai_api_base = os.environ['AZURE_OPENAI_API_BASE']
+    valid_openai_api_key = os.environ['AZURE_OPENAI_API_KEY']
+    openai_provider = AzureOpenAIProvider(provider=get_mock_provider())
+
+    mock_query = MagicMock()
+    mock_query.filter.return_value.first.return_value = ProviderModel(
+        provider_name='azure_openai',
+        model_name=model_name,
+        model_type=ModelType.EMBEDDINGS.value,
+        encrypted_config=json.dumps({
+            'openai_api_base': valid_openai_api_base,
+            'openai_api_key': valid_openai_api_key,
+            'base_model_name': model_name
+        }),
+        is_valid=True,
+    )
+    mocker.patch('extensions.ext_database.db.session.query', return_value=mock_query)
+
+    return AzureOpenAIEmbedding(
+        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_embedding(mock_decrypt, mocker):
+    embedding_model = get_mock_azure_openai_embedding_model(mocker)
+    rst = embedding_model.client.embed_query('test')
+    assert isinstance(rst, list)
+    assert len(rst) == 1536

api/tests/integration_tests/models/embedding/test_minimax_embedding.py

@@ -0,0 +1,44 @@
+import json
+import os
+from unittest.mock import patch
+
+from core.model_providers.models.embedding.minimax_embedding import MinimaxEmbedding
+from core.model_providers.providers.minimax_provider import MinimaxProvider
+from models.provider import Provider, ProviderType
+
+
+def get_mock_provider(valid_group_id, valid_api_key):
+    return Provider(
+        id='provider_id',
+        tenant_id='tenant_id',
+        provider_name='minimax',
+        provider_type=ProviderType.CUSTOM.value,
+        encrypted_config=json.dumps({
+            'minimax_group_id': valid_group_id,
+            'minimax_api_key': valid_api_key
+        }),
+        is_valid=True,
+    )
+
+
+def get_mock_embedding_model():
+    model_name = 'embo-01'
+    valid_api_key = os.environ['MINIMAX_API_KEY']
+    valid_group_id = os.environ['MINIMAX_GROUP_ID']
+    provider = MinimaxProvider(provider=get_mock_provider(valid_group_id, valid_api_key))
+    return MinimaxEmbedding(
+        model_provider=provider,
+        name=model_name
+    )
+
+
+def decrypt_side_effect(tenant_id, encrypted_api_key):
+    return encrypted_api_key
+
+
+@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
+def test_embedding(mock_decrypt):
+    embedding_model = get_mock_embedding_model()
+    rst = embedding_model.client.embed_query('test')
+    assert isinstance(rst, list)
+    assert len(rst) == 1536

api/tests/integration_tests/models/embedding/test_openai_embedding.py

@@ -0,0 +1,40 @@
+import json
+import os
+from unittest.mock import patch
+
+from core.model_providers.providers.openai_provider import OpenAIProvider
+from core.model_providers.models.embedding.openai_embedding import OpenAIEmbedding
+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_embedding_model():
+    model_name = 'text-embedding-ada-002'
+    valid_openai_api_key = os.environ['OPENAI_API_KEY']
+    openai_provider = OpenAIProvider(provider=get_mock_provider(valid_openai_api_key))
+    return OpenAIEmbedding(
+        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_embedding(mock_decrypt):
+    embedding_model = get_mock_openai_embedding_model()
+    rst = embedding_model.client.embed_query('test')
+    assert isinstance(rst, list)
+    assert len(rst) == 1536

api/tests/integration_tests/models/embedding/test_replicate_embedding.py

@@ -0,0 +1,64 @@
+import json
+import os
+from unittest.mock import patch, MagicMock
+
+from core.model_providers.models.embedding.replicate_embedding import ReplicateEmbedding
+from core.model_providers.models.entity.model_params import ModelType
+from core.model_providers.providers.replicate_provider import ReplicateProvider
+from models.provider import Provider, ProviderType, ProviderModel
+
+
+def get_mock_provider():
+    return Provider(
+        id='provider_id',
+        tenant_id='tenant_id',
+        provider_name='replicate',
+        provider_type=ProviderType.CUSTOM.value,
+        encrypted_config='',
+        is_valid=True,
+    )
+
+
+def get_mock_embedding_model(mocker):
+    model_name = 'replicate/all-mpnet-base-v2'
+    valid_api_key = os.environ['REPLICATE_API_TOKEN']
+    model_provider = ReplicateProvider(provider=get_mock_provider())
+
+    mock_query = MagicMock()
+    mock_query.filter.return_value.first.return_value = ProviderModel(
+        provider_name='replicate',
+        model_name=model_name,
+        model_type=ModelType.EMBEDDINGS.value,
+        encrypted_config=json.dumps({
+            'replicate_api_token': valid_api_key,
+            'model_version': 'b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305'
+        }),
+        is_valid=True,
+    )
+    mocker.patch('extensions.ext_database.db.session.query', return_value=mock_query)
+
+    return ReplicateEmbedding(
+        model_provider=model_provider,
+        name=model_name
+    )
+
+
+def decrypt_side_effect(tenant_id, encrypted_api_key):
+    return encrypted_api_key
+
+
+@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
+def test_embed_documents(mock_decrypt, mocker):
+    embedding_model = get_mock_embedding_model(mocker)
+    rst = embedding_model.client.embed_documents(['test', 'test1'])
+    assert isinstance(rst, list)
+    assert len(rst) == 2
+    assert len(rst[0]) == 768
+
+
+@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
+def test_embed_query(mock_decrypt, mocker):
+    embedding_model = get_mock_embedding_model(mocker)
+    rst = embedding_model.client.embed_query('test')
+    assert isinstance(rst, list)
+    assert len(rst) == 768