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

80 lines
2.1 KiB
Python

"""
Shared fixtures for advanced search system supporting module tests.
"""
import json
from unittest.mock import Mock
import pytest
@pytest.fixture
def mock_llm():
"""Create a mock LLM for testing supporting modules."""
mock = Mock()
def invoke_side_effect(prompt, *args, **kwargs):
if isinstance(prompt, list):
prompt_text = " ".join(
msg.content if hasattr(msg, "content") else str(msg)
for msg in prompt
)
else:
prompt_text = str(prompt)
prompt_lower = prompt_text.lower()
# Question generation
if "question" in prompt_lower:
response = Mock()
response.content = (
"1. What are the key aspects?\n"
"2. How has this evolved?\n"
"3. What are the main challenges?"
)
return response
# Constraint extraction
if "constraint" in prompt_lower:
response = Mock()
response.content = json.dumps(
{
"constraints": [
{"type": "temporal", "value": "2023"},
{"type": "geographic", "value": "global"},
]
}
)
return response
# Default
response = Mock()
response.content = "Mock response for testing"
return response
mock.invoke = Mock(side_effect=invoke_side_effect)
return mock
@pytest.fixture
def sample_search_results():
"""Sample search results for testing."""
return [
{
"title": "Test Article 1",
"link": "https://example.com/1",
"snippet": "This is a test snippet about the topic.",
},
{
"title": "Test Article 2",
"link": "https://example.com/2",
"snippet": "Another test snippet with different content.",
},
]
@pytest.fixture
def sample_query():
"""Sample research query."""
return "What are the environmental impacts of electric vehicles?"