removes fixtures

This commit is contained in:
hajdul88 2025-12-11 19:01:37 +01:00
parent 0bef029e34
commit 7e0c9f0c91

View file

@ -1,9 +1,7 @@
import pathlib
import os
import pytest
import pytest_asyncio
import cognee
from cognee.context_global_variables import set_session_user_context_variable
from cognee.infrastructure.databases.graph import get_graph_engine
from cognee.infrastructure.databases.vector import get_vector_engine
from cognee.modules.graph.cognee_graph.CogneeGraphElements import Edge
@ -25,11 +23,10 @@ from collections import Counter
logger = get_logger()
@pytest_asyncio.fixture
async def setup_search_db_environment():
"""Set up test environment with data, cognify, and triplet embeddings."""
async def setup_test_environment():
"""Helper function to set up test environment with data, cognify, and triplet embeddings."""
# This test runs for multiple db settings, to run this locally set the corresponding db envs
logger.info("Starting fixture setup: pruning data and system")
logger.info("Starting test setup: pruning data and system")
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
@ -65,52 +62,15 @@ async def setup_search_db_environment():
count = await collection.count_rows() if hasattr(collection, "count_rows") else "unknown"
logger.info(f"Triplet_text collection row count: {count}")
graph_engine = await get_graph_engine()
vector_engine = get_vector_engine()
query = "Next to which country is Germany located?"
gk_retriever_context = await GraphCompletionCotRetriever().get_context(query=query)
gk_cot_retriever_context = await GraphCompletionCotRetriever().get_context(query=query)
gk_ext_retriever_context = await GraphCompletionContextExtensionRetriever().get_context(
query=query
)
gk_sum_retriever_context = await GraphSummaryCompletionRetriever().get_context(query=query)
triplet_retriever_context = await TripletRetriever().get_context(query=query)
# Pre-compute triplets for test_retriever_triplets
triplets_gk = await GraphCompletionRetriever().get_triplets(query=query)
triplets_gk_cot = await GraphCompletionCotRetriever().get_triplets(query=query)
triplets_gk_ext = await GraphCompletionContextExtensionRetriever().get_triplets(query=query)
triplets_gk_sum = await GraphSummaryCompletionRetriever().get_triplets(query=query)
yield {
return {
"dataset_name": dataset_name,
"text_1": text_1,
"explanation_file_path_quantum": explanation_file_path_quantum,
"graph_engine": graph_engine,
"vector_engine": vector_engine,
"gk_retriever_context": gk_retriever_context,
"gk_cot_retriever_context": gk_cot_retriever_context,
"gk_ext_retriever_context": gk_ext_retriever_context,
"gk_sum_retriever_context": gk_sum_retriever_context,
"triplet_retriever_context": triplet_retriever_context,
"triplets_gk": triplets_gk,
"triplets_gk_cot": triplets_gk_cot,
"triplets_gk_ext": triplets_gk_ext,
"triplets_gk_sum": triplets_gk_sum,
}
logger.info("Fixture teardown: pruning data and system")
try:
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
except Exception:
pass
@pytest_asyncio.fixture
async def setup_search_db_environment_for_feedback():
"""Set up test environment for feedback weight calculation test."""
async def setup_test_environment_for_feedback():
"""Helper function to set up test environment for feedback weight calculation test."""
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
@ -127,26 +87,22 @@ async def setup_search_db_environment_for_feedback():
await cognee.cognify([dataset_name])
yield {
return {
"dataset_name": dataset_name,
"text_1": text_1,
"explanation_file_path_quantum": explanation_file_path_quantum,
}
try:
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
except Exception:
pass
@pytest.mark.asyncio
async def test_graph_vector_engine_consistency(setup_search_db_environment):
async def test_graph_vector_engine_consistency():
"""Test that graph edges match triplet collection in vector engine."""
vector_engine = setup_search_db_environment["vector_engine"]
graph_engine = setup_search_db_environment["graph_engine"]
await setup_test_environment()
graph_engine = await get_graph_engine()
nodes, edges = await graph_engine.get_graph_data()
vector_engine = get_vector_engine()
collection = await vector_engine.search(
collection_name="Triplet_text", query_text="Test", limit=None
)
@ -155,16 +111,26 @@ async def test_graph_vector_engine_consistency(setup_search_db_environment):
f"Expected {len(edges)} edges but got {len(collection)} in Triplet_text collection"
)
# Cleanup
try:
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
except Exception:
pass
@pytest.mark.asyncio
async def test_retriever_contexts(setup_search_db_environment):
async def test_retriever_contexts():
"""Test that all retrievers return valid contexts with expected content."""
await setup_test_environment()
context_gk = setup_search_db_environment["gk_retriever_context"]
context_gk_cot = setup_search_db_environment["gk_cot_retriever_context"]
context_gk_ext = setup_search_db_environment["gk_ext_retriever_context"]
context_gk_sum = setup_search_db_environment["gk_sum_retriever_context"]
context_triplet = setup_search_db_environment["triplet_retriever_context"]
query = "Next to which country is Germany located?"
context_gk = await GraphCompletionRetriever().get_context(query=query)
context_gk_cot = await GraphCompletionCotRetriever().get_context(query=query)
context_gk_ext = await GraphCompletionContextExtensionRetriever().get_context(query=query)
context_gk_sum = await GraphSummaryCompletionRetriever().get_context(query=query)
context_triplet = await TripletRetriever().get_context(query=query)
# Test graph-based retrievers (should return lists)
for name, context in [
@ -190,14 +156,25 @@ async def test_retriever_contexts(setup_search_db_environment):
f"TripletRetriever: Context did not contain 'germany' or 'netherlands'; got: {context_triplet!r}"
)
# Cleanup
try:
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
except Exception:
pass
@pytest.mark.asyncio
async def test_retriever_triplets(setup_search_db_environment):
async def test_retriever_triplets():
"""Test that retrievers return valid triplets with proper vector distances."""
triplets_gk = setup_search_db_environment["triplets_gk"]
triplets_gk_cot = setup_search_db_environment["triplets_gk_cot"]
triplets_gk_ext = setup_search_db_environment["triplets_gk_ext"]
triplets_gk_sum = setup_search_db_environment["triplets_gk_sum"]
await setup_test_environment()
query = "Next to which country is Germany located?"
triplets_gk = await GraphCompletionRetriever().get_triplets(query=query)
triplets_gk_cot = await GraphCompletionCotRetriever().get_triplets(query=query)
triplets_gk_ext = await GraphCompletionContextExtensionRetriever().get_triplets(query=query)
triplets_gk_sum = await GraphSummaryCompletionRetriever().get_triplets(query=query)
for name, triplets in [
("GraphCompletionRetriever", triplets_gk),
@ -225,10 +202,19 @@ async def test_retriever_triplets(setup_search_db_environment):
f"{name}: node_2 vector_distance {distance} out of [0,1], this shouldn't happen"
)
# Cleanup
try:
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
except Exception:
pass
@pytest.mark.asyncio
async def test_search_operations(setup_search_db_environment):
async def test_search_operations():
"""Test different search types and verify results contain expected content."""
await setup_test_environment()
completion_gk = await cognee.search(
query_type=SearchType.GRAPH_COMPLETION,
query_text="Where is germany located, next to which country?",
@ -290,10 +276,19 @@ async def test_search_operations(setup_search_db_environment):
f"{name}: expected 'netherlands' in result, got: {text!r}"
)
# Cleanup
try:
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
except Exception:
pass
@pytest.mark.asyncio
async def test_graph_node_and_edge_counts(setup_search_db_environment):
async def test_graph_node_and_edge_counts():
"""Test that graph contains expected node and edge counts after search operations."""
await setup_test_environment()
# First perform searches to create interaction and feedback nodes
await cognee.search(
query_type=SearchType.GRAPH_COMPLETION,
@ -329,7 +324,7 @@ async def test_graph_node_and_edge_counts(setup_search_db_environment):
last_k=1,
)
graph_engine = setup_search_db_environment["graph_engine"]
graph_engine = await get_graph_engine()
graph = await graph_engine.get_graph_data()
type_counts = Counter(node_data[1].get("type", {}) for node_data in graph[0])
@ -365,10 +360,19 @@ async def test_graph_node_and_edge_counts(setup_search_db_environment):
f"Expected at least six 'belongs_to_set' edges, but found {edge_type_counts.get('belongs_to_set', 0)}"
)
# Cleanup
try:
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
except Exception:
pass
@pytest.mark.asyncio
async def test_node_field_validation(setup_search_db_environment):
async def test_node_field_validation():
"""Test that user interaction and feedback nodes have required fields with valid values."""
await setup_test_environment()
# First perform searches to create interaction and feedback nodes
await cognee.search(
query_type=SearchType.GRAPH_COMPLETION,
@ -404,7 +408,7 @@ async def test_node_field_validation(setup_search_db_environment):
last_k=1,
)
graph_engine = setup_search_db_environment["graph_engine"]
graph_engine = await get_graph_engine()
graph = await graph_engine.get_graph_data()
nodes = graph[0]
@ -434,10 +438,18 @@ async def test_node_field_validation(setup_search_db_environment):
f"Node {node_id} has invalid value for '{field}': {value!r}"
)
# Cleanup
try:
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
except Exception:
pass
@pytest.mark.asyncio
async def test_feedback_weight_calculation(setup_search_db_environment_for_feedback):
async def test_feedback_weight_calculation():
"""Test that feedback weight is correctly calculated after multiple positive feedbacks."""
await setup_test_environment_for_feedback()
await cognee.search(
query_type=SearchType.GRAPH_COMPLETION,
@ -466,3 +478,10 @@ async def test_feedback_weight_calculation(setup_search_db_environment_for_feedb
assert properties["feedback_weight"] >= 6, (
"Feedback weight calculation is not correct, it should be more then 6."
)
# Cleanup
try:
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
except Exception:
pass