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76 lines
2.0 KiB
Python
76 lines
2.0 KiB
Python
"""Shared fixtures for metrics tests."""
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from unittest.mock import MagicMock, Mock, patch
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import pytest
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@pytest.fixture
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def mock_flask_session():
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"""Mock Flask session with username."""
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mock_session = {"username": "testuser", "session_id": "test-session-id"}
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with patch("flask.session", mock_session):
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yield mock_session
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@pytest.fixture
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def mock_db_session():
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"""Mock database session."""
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session = MagicMock()
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session.query.return_value.filter.return_value.all.return_value = []
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session.query.return_value.filter.return_value.first.return_value = None
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session.query.return_value.filter_by.return_value.all.return_value = []
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session.query.return_value.filter_by.return_value.first.return_value = None
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return session
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@pytest.fixture
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def mock_search_context():
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"""Mock search context for SearchTracker."""
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return {
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"research_id": "test-uuid-123",
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"research_query": "test query",
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"research_mode": "quick",
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"research_phase": "search",
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"search_iteration": 1,
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"username": "testuser",
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"user_password": "testpass",
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}
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@pytest.fixture
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def mock_token_usage_data():
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"""Sample token usage data for testing."""
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return {
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"model_name": "gpt-4",
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"model_provider": "openai",
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"prompt_tokens": 100,
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"completion_tokens": 50,
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"total_tokens": 150,
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"research_id": "test-uuid-123",
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}
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@pytest.fixture
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def mock_llm_response():
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"""Mock LangChain LLM response."""
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response = Mock()
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response.llm_output = {
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"token_usage": {
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"prompt_tokens": 100,
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"completion_tokens": 50,
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"total_tokens": 150,
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}
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}
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response.generations = []
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return response
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@pytest.fixture
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def mock_metrics_writer():
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"""Mock thread-safe metrics writer."""
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writer = MagicMock()
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writer.get_session.return_value.__enter__ = Mock(return_value=MagicMock())
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writer.get_session.return_value.__exit__ = Mock(return_value=None)
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return writer
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