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"""Unit tests for Judge Factory and Model Selection.""" |
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from unittest.mock import patch |
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import pytest |
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pytestmark = pytest.mark.unit |
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from pydantic_ai.models.anthropic import AnthropicModel |
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from pydantic_ai.models.huggingface import HuggingFaceModel |
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from pydantic_ai.models.openai import OpenAIChatModel |
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from src.agent_factory.judges import get_model |
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@pytest.fixture |
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def mock_settings(): |
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with patch("src.agent_factory.judges.settings", autospec=True) as mock_settings: |
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yield mock_settings |
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def test_get_model_openai(mock_settings): |
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"""Test that OpenAI model is returned when provider is openai.""" |
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mock_settings.llm_provider = "openai" |
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mock_settings.openai_api_key = "sk-test" |
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mock_settings.openai_model = "gpt-5" |
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model = get_model() |
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assert isinstance(model, OpenAIChatModel) |
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assert model.model_name == "gpt-5" |
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def test_get_model_anthropic(mock_settings): |
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"""Test that Anthropic model is returned when provider is anthropic.""" |
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mock_settings.llm_provider = "anthropic" |
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mock_settings.anthropic_api_key = "sk-ant-test" |
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mock_settings.anthropic_model = "claude-sonnet-4-5-20250929" |
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model = get_model() |
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assert isinstance(model, AnthropicModel) |
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assert model.model_name == "claude-sonnet-4-5-20250929" |
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def test_get_model_huggingface(mock_settings): |
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"""Test that HuggingFace model is returned when provider is huggingface.""" |
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mock_settings.llm_provider = "huggingface" |
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mock_settings.hf_token = "hf_test_token" |
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mock_settings.huggingface_model = "meta-llama/Llama-3.1-70B-Instruct" |
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model = get_model() |
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assert isinstance(model, HuggingFaceModel) |
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assert model.model_name == "meta-llama/Llama-3.1-70B-Instruct" |
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def test_get_model_default_fallback(mock_settings): |
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"""Test fallback to OpenAI if provider is unknown.""" |
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mock_settings.llm_provider = "unknown_provider" |
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mock_settings.openai_api_key = "sk-test" |
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mock_settings.openai_model = "gpt-5" |
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model = get_model() |
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assert isinstance(model, OpenAIChatModel) |
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