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Enhancement: support separate embedding API key (#14067)
Co-authored-by: Claude Code <noreply@anthropic.com> Co-authored-by: shamoon <4887959+shamoon@users.noreply.github.com>
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co-authored by
Claude Code
shamoon
parent
793459b416
commit
e34eda07bb
@@ -17,6 +17,7 @@ from paperless_ai.embedding import get_embedding_model
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@pytest.fixture
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def mock_ai_config():
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with patch("paperless_ai.embedding.AIConfig") as MockAIConfig:
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MockAIConfig.return_value.llm_embedding_api_key = None
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MockAIConfig.return_value.llm_embedding_endpoint = None
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MockAIConfig.return_value.llm_allow_internal_endpoints = True
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MockAIConfig.return_value.llm_context_size = 8192
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@@ -63,6 +64,7 @@ def mock_document():
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def test_get_embedding_model_openai(mock_ai_config):
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mock_ai_config.return_value.llm_embedding_backend = LLMEmbeddingBackend.OPENAI_LIKE
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mock_ai_config.return_value.llm_embedding_model = "text-embedding-3-small"
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mock_ai_config.return_value.llm_embedding_api_key = "test_embedding_api_key"
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mock_ai_config.return_value.llm_api_key = "test_api_key"
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mock_ai_config.return_value.llm_endpoint = "http://test-url"
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@@ -72,7 +74,7 @@ def test_get_embedding_model_openai(mock_ai_config):
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model = get_embedding_model(mock_ai_config.return_value)
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MockOpenAIEmbedding.assert_called_once_with(
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model_name="text-embedding-3-small",
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api_key="test_api_key",
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api_key="test_embedding_api_key",
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api_base="http://test-url",
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timeout=120,
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http_client=ANY,
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@@ -81,6 +83,20 @@ def test_get_embedding_model_openai(mock_ai_config):
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assert model == MockOpenAIEmbedding.return_value
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def test_get_embedding_model_openai_falls_back_to_llm_api_key(mock_ai_config):
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mock_ai_config.return_value.llm_embedding_backend = LLMEmbeddingBackend.OPENAI_LIKE
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mock_ai_config.return_value.llm_embedding_model = "text-embedding-3-small"
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mock_ai_config.return_value.llm_api_key = "test_api_key"
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mock_ai_config.return_value.llm_endpoint = "http://test-url"
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with patch(
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"llama_index.embeddings.openai_like.OpenAILikeEmbedding",
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) as MockOpenAIEmbedding:
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get_embedding_model(mock_ai_config.return_value)
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assert MockOpenAIEmbedding.call_args.kwargs["api_key"] == "test_api_key"
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@pytest.mark.parametrize("configured_key", [None, ""])
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def test_get_embedding_model_openai_without_api_key_sends_placeholder(
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mock_ai_config,
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@@ -89,6 +105,7 @@ def test_get_embedding_model_openai_without_api_key_sends_placeholder(
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"""Same required key handling as the LLM client, see #13831."""
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mock_ai_config.return_value.llm_embedding_backend = LLMEmbeddingBackend.OPENAI_LIKE
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mock_ai_config.return_value.llm_embedding_model = "text-embedding-3-small"
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mock_ai_config.return_value.llm_embedding_api_key = configured_key
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mock_ai_config.return_value.llm_api_key = configured_key
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mock_ai_config.return_value.llm_endpoint = "http://test-url"
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