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chore: import upstream snapshot with attribution
2026-07-13 13:08:55 +08:00

76 lines
2.0 KiB
Python

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