mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-25 16:36:21 +02:00
148 lines
No EOL
4.2 KiB
Python
148 lines
No EOL
4.2 KiB
Python
"""
|
|
Shared fixtures for query tests
|
|
"""
|
|
|
|
import pytest
|
|
from unittest.mock import AsyncMock, MagicMock
|
|
|
|
|
|
@pytest.fixture
|
|
def base_query_config():
|
|
"""Base configuration for query processors"""
|
|
return {
|
|
'taskgroup': AsyncMock(),
|
|
'id': 'test-query-processor'
|
|
}
|
|
|
|
|
|
@pytest.fixture
|
|
def qdrant_query_config(base_query_config):
|
|
"""Configuration for Qdrant query processors"""
|
|
return base_query_config | {
|
|
'store_uri': 'http://localhost:6333',
|
|
'api_key': 'test-api-key'
|
|
}
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_qdrant_client():
|
|
"""Mock Qdrant client"""
|
|
mock_client = MagicMock()
|
|
mock_client.query_points.return_value = []
|
|
return mock_client
|
|
|
|
|
|
# Graph embeddings query fixtures
|
|
@pytest.fixture
|
|
def mock_graph_embeddings_request():
|
|
"""Mock graph embeddings request message"""
|
|
mock_message = MagicMock()
|
|
mock_message.vectors = [[0.1, 0.2, 0.3]]
|
|
mock_message.limit = 5
|
|
mock_message.user = 'test_user'
|
|
mock_message.collection = 'test_collection'
|
|
return mock_message
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_graph_embeddings_multiple_vectors():
|
|
"""Mock graph embeddings request with multiple vectors"""
|
|
mock_message = MagicMock()
|
|
mock_message.vectors = [[0.1, 0.2], [0.3, 0.4]]
|
|
mock_message.limit = 3
|
|
mock_message.user = 'multi_user'
|
|
mock_message.collection = 'multi_collection'
|
|
return mock_message
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_graph_embeddings_query_response():
|
|
"""Mock graph embeddings query response from Qdrant"""
|
|
mock_point1 = MagicMock()
|
|
mock_point1.payload = {'entity': 'entity1'}
|
|
mock_point2 = MagicMock()
|
|
mock_point2.payload = {'entity': 'entity2'}
|
|
return [mock_point1, mock_point2]
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_graph_embeddings_uri_response():
|
|
"""Mock graph embeddings query response with URIs"""
|
|
mock_point1 = MagicMock()
|
|
mock_point1.payload = {'entity': 'http://example.com/entity1'}
|
|
mock_point2 = MagicMock()
|
|
mock_point2.payload = {'entity': 'https://secure.example.com/entity2'}
|
|
mock_point3 = MagicMock()
|
|
mock_point3.payload = {'entity': 'regular entity'}
|
|
return [mock_point1, mock_point2, mock_point3]
|
|
|
|
|
|
# Document embeddings query fixtures
|
|
@pytest.fixture
|
|
def mock_document_embeddings_request():
|
|
"""Mock document embeddings request message"""
|
|
mock_message = MagicMock()
|
|
mock_message.vectors = [[0.1, 0.2, 0.3]]
|
|
mock_message.limit = 5
|
|
mock_message.user = 'test_user'
|
|
mock_message.collection = 'test_collection'
|
|
return mock_message
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_document_embeddings_multiple_vectors():
|
|
"""Mock document embeddings request with multiple vectors"""
|
|
mock_message = MagicMock()
|
|
mock_message.vectors = [[0.1, 0.2], [0.3, 0.4]]
|
|
mock_message.limit = 3
|
|
mock_message.user = 'multi_user'
|
|
mock_message.collection = 'multi_collection'
|
|
return mock_message
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_document_embeddings_query_response():
|
|
"""Mock document embeddings query response from Qdrant"""
|
|
mock_point1 = MagicMock()
|
|
mock_point1.payload = {'doc': 'first document chunk'}
|
|
mock_point2 = MagicMock()
|
|
mock_point2.payload = {'doc': 'second document chunk'}
|
|
return [mock_point1, mock_point2]
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_document_embeddings_utf8_response():
|
|
"""Mock document embeddings query response with UTF-8 content"""
|
|
mock_point1 = MagicMock()
|
|
mock_point1.payload = {'doc': 'Document with UTF-8: café, naïve, résumé'}
|
|
mock_point2 = MagicMock()
|
|
mock_point2.payload = {'doc': 'Chinese text: 你好世界'}
|
|
return [mock_point1, mock_point2]
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_empty_query_response():
|
|
"""Mock empty query response"""
|
|
return []
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_large_query_response():
|
|
"""Mock large query response with many results"""
|
|
mock_points = []
|
|
for i in range(10):
|
|
mock_point = MagicMock()
|
|
mock_point.payload = {'doc': f'document chunk {i}'}
|
|
mock_points.append(mock_point)
|
|
return mock_points
|
|
|
|
|
|
@pytest.fixture
|
|
def mock_mixed_dimension_vectors():
|
|
"""Mock request with vectors of different dimensions"""
|
|
mock_message = MagicMock()
|
|
mock_message.vectors = [[0.1, 0.2], [0.3, 0.4, 0.5]] # 2D and 3D
|
|
mock_message.limit = 5
|
|
mock_message.user = 'dim_user'
|
|
mock_message.collection = 'dim_collection'
|
|
return mock_message |