testing another approach
This commit is contained in:
parent
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commit
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1 changed files with 226 additions and 224 deletions
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@ -1,6 +1,8 @@
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import pathlib
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import pathlib
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import os
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import os
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import asyncio
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import pytest
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import pytest
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import pytest_asyncio
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from collections import Counter
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from collections import Counter
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import cognee
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import cognee
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@ -28,6 +30,20 @@ from cognee.modules.users.methods import get_default_user
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logger = get_logger()
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logger = get_logger()
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@pytest.fixture(scope="session")
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def event_loop():
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"""Use a single asyncio event loop for this test module.
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This helps avoid "Future attached to a different loop" when running multiple async
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tests that share clients/engines.
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"""
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loop = asyncio.new_event_loop()
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try:
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yield loop
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finally:
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loop.close()
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async def setup_test_environment():
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async def setup_test_environment():
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"""Helper function to set up test environment with data, cognify, and triplet embeddings."""
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"""Helper function to set up test environment with data, cognify, and triplet embeddings."""
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# This test runs for multiple db settings, to run this locally set the corresponding db envs
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# This test runs for multiple db settings, to run this locally set the corresponding db envs
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@ -143,12 +159,11 @@ async def setup_test_environment_for_feedback():
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}
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}
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@pytest.mark.asyncio
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@pytest_asyncio.fixture(scope="session")
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async def test_search_db():
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async def e2e_state():
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"""Run all search-db checks in one test.
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"""Compute E2E artifacts once; tests only assert.
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This intentionally keeps everything in a single test to avoid event loop churn between
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This avoids repeating expensive setup and LLM calls across multiple tests.
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tests when running against deployed databases.
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"""
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"""
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await setup_test_environment()
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await setup_test_environment()
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@ -161,96 +176,36 @@ async def test_search_db():
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collection_name="Triplet_text", query_text="Test", limit=None
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collection_name="Triplet_text", query_text="Test", limit=None
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)
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)
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assert len(edges) == len(collection), (
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f"Expected {len(edges)} edges but got {len(collection)} in Triplet_text collection"
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)
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# --- Retriever contexts ---
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# --- Retriever contexts ---
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query = "Next to which country is Germany located?"
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query = "Next to which country is Germany located?"
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context_gk = await GraphCompletionRetriever().get_context(query=query)
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contexts = {
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context_gk_cot = await GraphCompletionCotRetriever().get_context(query=query)
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"graph_completion": await GraphCompletionRetriever().get_context(query=query),
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context_gk_ext = await GraphCompletionContextExtensionRetriever().get_context(query=query)
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"graph_completion_cot": await GraphCompletionCotRetriever().get_context(query=query),
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context_gk_sum = await GraphSummaryCompletionRetriever().get_context(query=query)
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"graph_completion_context_extension": await GraphCompletionContextExtensionRetriever().get_context(
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context_chunks = await ChunksRetriever(top_k=5).get_context(query=query)
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query=query
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context_summaries = await SummariesRetriever(top_k=5).get_context(query=query)
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),
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context_rag = await CompletionRetriever(top_k=3).get_context(query=query)
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"graph_summary_completion": await GraphSummaryCompletionRetriever().get_context(
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context_temporal = await TemporalRetriever(top_k=5).get_context(query=query)
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query=query
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context_triplet = await TripletRetriever().get_context(query=query)
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),
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"chunks": await ChunksRetriever(top_k=5).get_context(query=query),
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for name, context in [
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"summaries": await SummariesRetriever(top_k=5).get_context(query=query),
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("GraphCompletionRetriever", context_gk),
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"rag_completion": await CompletionRetriever(top_k=3).get_context(query=query),
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("GraphCompletionCotRetriever", context_gk_cot),
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"temporal": await TemporalRetriever(top_k=5).get_context(query=query),
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("GraphCompletionContextExtensionRetriever", context_gk_ext),
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"triplet": await TripletRetriever().get_context(query=query),
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("GraphSummaryCompletionRetriever", context_gk_sum),
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}
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]:
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assert isinstance(context, list), f"{name}: Context should be a list"
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assert len(context) > 0, f"{name}: Context should not be empty"
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context_text = await resolve_edges_to_text(context)
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lower = context_text.lower()
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assert "germany" in lower or "netherlands" in lower, (
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f"{name}: Context did not contain 'germany' or 'netherlands'; got: {context!r}"
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)
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assert isinstance(context_triplet, str), "TripletRetriever: Context should be a string"
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assert len(context_triplet) > 0, "TripletRetriever: Context should not be empty"
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lower_triplet = context_triplet.lower()
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assert "germany" in lower_triplet or "netherlands" in lower_triplet, (
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f"TripletRetriever: Context did not contain 'germany' or 'netherlands'; got: {context_triplet!r}"
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)
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assert isinstance(context_chunks, list), "ChunksRetriever: Context should be a list"
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assert context_chunks, "ChunksRetriever: Context should not be empty"
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chunks_text = "\n".join(str(item.get("text", "")) for item in context_chunks).lower()
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assert "germany" in chunks_text or "netherlands" in chunks_text, (
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"ChunksRetriever: Context did not contain 'germany' or 'netherlands'; "
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f"got: {context_chunks!r}"
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)
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assert isinstance(context_summaries, list), "SummariesRetriever: Context should be a list"
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assert context_summaries, "SummariesRetriever: Context should not be empty"
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assert any(str(item.get("text", "")).strip() for item in context_summaries), (
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"SummariesRetriever: Expected at least one non-empty 'text' field in summary payloads"
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)
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assert isinstance(context_rag, str), "CompletionRetriever: Context should be a string"
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assert context_rag.strip(), "CompletionRetriever: Context should not be empty"
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assert isinstance(context_temporal, str), "TemporalRetriever: Context should be a string"
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assert context_temporal.strip(), "TemporalRetriever: Context should not be empty"
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# --- Retriever triplets + vector distance validation ---
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# --- Retriever triplets + vector distance validation ---
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triplets_gk = await GraphCompletionRetriever().get_triplets(query=query)
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triplets = {
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triplets_gk_cot = await GraphCompletionCotRetriever().get_triplets(query=query)
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"graph_completion": await GraphCompletionRetriever().get_triplets(query=query),
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triplets_gk_ext = await GraphCompletionContextExtensionRetriever().get_triplets(query=query)
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"graph_completion_cot": await GraphCompletionCotRetriever().get_triplets(query=query),
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triplets_gk_sum = await GraphSummaryCompletionRetriever().get_triplets(query=query)
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"graph_completion_context_extension": await GraphCompletionContextExtensionRetriever().get_triplets(
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query=query
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for name, triplets in [
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),
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("GraphCompletionRetriever", triplets_gk),
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"graph_summary_completion": await GraphSummaryCompletionRetriever().get_triplets(
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("GraphCompletionCotRetriever", triplets_gk_cot),
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query=query
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("GraphCompletionContextExtensionRetriever", triplets_gk_ext),
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),
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("GraphSummaryCompletionRetriever", triplets_gk_sum),
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}
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]:
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assert isinstance(triplets, list), f"{name}: Triplets should be a list"
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assert triplets, f"{name}: Triplets list should not be empty"
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for edge in triplets:
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assert isinstance(edge, Edge), f"{name}: Elements should be Edge instances"
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distance = edge.attributes.get("vector_distance")
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node1_distance = edge.node1.attributes.get("vector_distance")
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node2_distance = edge.node2.attributes.get("vector_distance")
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assert isinstance(distance, float), (
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f"{name}: vector_distance should be float, got {type(distance)}"
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)
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assert 0 <= distance <= 1, (
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f"{name}: edge vector_distance {distance} out of [0,1], this shouldn't happen"
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)
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assert 0 <= node1_distance <= 1, (
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f"{name}: node_1 vector_distance {distance} out of [0,1], this shouldn't happen"
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)
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assert 0 <= node2_distance <= 1, (
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f"{name}: node_2 vector_distance {distance} out of [0,1], this shouldn't happen"
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)
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# --- Search operations + graph side effects ---
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# --- Search operations + graph side effects ---
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completion_gk = await cognee.search(
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completion_gk = await cognee.search(
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@ -310,139 +265,34 @@ async def test_search_db():
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last_k=1,
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last_k=1,
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)
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)
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from cognee.context_global_variables import backend_access_control_enabled
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# Snapshot after all E2E operations above (used by assertion-only tests).
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graph_snapshot = await (await get_graph_engine()).get_graph_data()
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for name, search_results in [
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return {
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("GRAPH_COMPLETION", completion_gk),
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"graph_edges": edges,
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("GRAPH_COMPLETION_COT", completion_cot),
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"triplet_collection": collection,
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("GRAPH_COMPLETION_CONTEXT_EXTENSION", completion_ext),
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"vector_collection_edges_count": len(collection),
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("GRAPH_SUMMARY_COMPLETION", completion_sum),
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"graph_edges_count": len(edges),
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("TRIPLET_COMPLETION", completion_triplet),
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"contexts": contexts,
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("RAG_COMPLETION", completion_rag),
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"triplets": triplets,
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("TEMPORAL", completion_temporal),
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"search_results": {
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]:
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"graph_completion": completion_gk,
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assert isinstance(search_results, list), f"{name}: should return a list"
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"graph_completion_cot": completion_cot,
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assert len(search_results) == 1, (
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"graph_completion_context_extension": completion_ext,
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f"{name}: expected single-element list, got {len(search_results)}"
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"graph_summary_completion": completion_sum,
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)
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"triplet_completion": completion_triplet,
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"chunks": completion_chunks,
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"summaries": completion_summaries,
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"rag_completion": completion_rag,
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"temporal": completion_temporal,
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},
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"graph_snapshot": graph_snapshot,
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}
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if backend_access_control_enabled():
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wrapper = search_results[0]
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assert isinstance(wrapper, dict), (
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f"{name}: expected wrapper dict in access control mode"
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)
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assert wrapper.get("dataset_id"), f"{name}: missing dataset_id in wrapper"
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assert wrapper.get("dataset_name") == "test_dataset", (
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f"{name}: unexpected dataset_name {wrapper.get('dataset_name')!r}"
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)
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assert "graphs" in wrapper, f"{name}: missing graphs key in wrapper"
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text = search_results[0]["search_result"][0]
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else:
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text = search_results[0]
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assert isinstance(text, str), f"{name}: element should be a string"
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assert text.strip(), f"{name}: string should not be empty"
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assert "netherlands" in text.lower(), (
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f"{name}: expected 'netherlands' in result, got: {text!r}"
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)
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for name, search_results in [
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@pytest_asyncio.fixture(scope="session")
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("CHUNKS", completion_chunks),
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async def feedback_state():
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("SUMMARIES", completion_summaries),
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"""Feedback-weight scenario computed once (fresh environment)."""
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]:
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assert isinstance(search_results, list), f"{name}: should return a list"
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assert search_results, f"{name}: should not be empty"
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first = search_results[0]
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assert isinstance(first, dict), f"{name}: expected dict entries, got {type(first).__name__}"
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payloads = search_results
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if "search_result" in first and "text" not in first:
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assert first.get("dataset_id"), f"{name}: missing dataset_id in wrapper"
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assert first.get("dataset_name") == "test_dataset", (
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f"{name}: unexpected dataset_name {first.get('dataset_name')!r}"
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)
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assert "graphs" in first, f"{name}: missing graphs key in wrapper"
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payloads = (first.get("search_result") or [None])[0]
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assert isinstance(payloads, list), (
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f"{name}: expected list payloads, got {type(payloads).__name__}"
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)
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assert payloads, f"{name}: expected non-empty payload list"
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assert isinstance(payloads[0], dict), f"{name}: expected dict payloads"
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assert str(payloads[0].get("text", "")).strip(), f"{name}: missing non-empty 'text'"
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graph_engine = await get_graph_engine()
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graph = await graph_engine.get_graph_data()
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type_counts = Counter(node_data[1].get("type", {}) for node_data in graph[0])
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edge_type_counts = Counter(edge_type[2] for edge_type in graph[1])
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# Assert there are exactly 4 CogneeUserInteraction nodes.
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assert type_counts.get("CogneeUserInteraction", 0) == 4, (
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"Expected exactly four CogneeUserInteraction nodes, "
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f"but found {type_counts.get('CogneeUserInteraction', 0)}"
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)
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# Assert there is exactly two CogneeUserFeedback nodes.
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assert type_counts.get("CogneeUserFeedback", 0) == 2, (
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"Expected exactly two CogneeUserFeedback nodes, "
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f"but found {type_counts.get('CogneeUserFeedback', 0)}"
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)
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# Assert there is exactly two NodeSet.
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assert type_counts.get("NodeSet", 0) == 2, (
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f"Expected exactly two NodeSet nodes, but found {type_counts.get('NodeSet', 0)}"
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)
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# Assert that there are at least 10 'used_graph_element_to_answer' edges.
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assert edge_type_counts.get("used_graph_element_to_answer", 0) >= 10, (
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"Expected at least ten 'used_graph_element_to_answer' edges, but found "
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f"{edge_type_counts.get('used_graph_element_to_answer', 0)}"
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)
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# Assert that there are exactly 2 'gives_feedback_to' edges.
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assert edge_type_counts.get("gives_feedback_to", 0) == 2, (
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"Expected exactly two 'gives_feedback_to' edges, but found "
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f"{edge_type_counts.get('gives_feedback_to', 0)}"
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)
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# Assert that there are at least 6 'belongs_to_set' edges.
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assert edge_type_counts.get("belongs_to_set", 0) >= 6, (
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"Expected at least six 'belongs_to_set' edges, but found "
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f"{edge_type_counts.get('belongs_to_set', 0)}"
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)
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# Node field validation on the same graph produced above
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nodes = graph[0]
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required_fields_user_interaction = {"question", "answer", "context"}
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required_fields_feedback = {"feedback", "sentiment"}
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for node_id, data in nodes:
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if data.get("type") == "CogneeUserInteraction":
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assert required_fields_user_interaction.issubset(data.keys()), (
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f"Node {node_id} is missing fields: "
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f"{required_fields_user_interaction - set(data.keys())}"
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)
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for field in required_fields_user_interaction:
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value = data[field]
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assert isinstance(value, str) and value.strip(), (
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f"Node {node_id} has invalid value for '{field}': {value!r}"
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)
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if data.get("type") == "CogneeUserFeedback":
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assert required_fields_feedback.issubset(data.keys()), (
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f"Node {node_id} is missing fields: {required_fields_feedback - set(data.keys())}"
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)
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for field in required_fields_feedback:
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value = data[field]
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assert isinstance(value, str) and value.strip(), (
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f"Node {node_id} has invalid value for '{field}': {value!r}"
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)
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# --- Feedback weight calculation (run in fresh environment) ---
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await setup_test_environment_for_feedback()
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await setup_test_environment_for_feedback()
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await cognee.search(
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await cognee.search(
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@ -450,13 +300,11 @@ async def test_search_db():
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query_text="Next to which country is Germany located?",
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query_text="Next to which country is Germany located?",
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save_interaction=True,
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save_interaction=True,
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)
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)
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await cognee.search(
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await cognee.search(
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query_type=SearchType.FEEDBACK,
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query_type=SearchType.FEEDBACK,
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query_text="This was the best answer I've ever seen",
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query_text="This was the best answer I've ever seen",
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last_k=1,
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last_k=1,
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)
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)
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await cognee.search(
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await cognee.search(
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query_type=SearchType.FEEDBACK,
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query_type=SearchType.FEEDBACK,
|
||||||
query_text="Wow the correctness of this answer blows my mind",
|
query_text="Wow the correctness of this answer blows my mind",
|
||||||
|
|
@ -465,9 +313,163 @@ async def test_search_db():
|
||||||
|
|
||||||
graph_engine = await get_graph_engine()
|
graph_engine = await get_graph_engine()
|
||||||
graph = await graph_engine.get_graph_data()
|
graph = await graph_engine.get_graph_data()
|
||||||
edges = graph[1]
|
return {"graph_snapshot": graph}
|
||||||
|
|
||||||
for from_node, to_node, relationship_name, properties in edges:
|
|
||||||
|
@pytest.mark.asyncio
|
||||||
|
async def test_e2e_graph_vector_consistency(e2e_state):
|
||||||
|
assert e2e_state["graph_edges_count"] == e2e_state["vector_collection_edges_count"]
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.asyncio
|
||||||
|
async def test_e2e_retriever_contexts(e2e_state):
|
||||||
|
query = "Next to which country is Germany located?"
|
||||||
|
contexts = e2e_state["contexts"]
|
||||||
|
|
||||||
|
for name in [
|
||||||
|
"graph_completion",
|
||||||
|
"graph_completion_cot",
|
||||||
|
"graph_completion_context_extension",
|
||||||
|
"graph_summary_completion",
|
||||||
|
]:
|
||||||
|
ctx = contexts[name]
|
||||||
|
assert isinstance(ctx, list), f"{name}: Context should be a list"
|
||||||
|
assert ctx, f"{name}: Context should not be empty"
|
||||||
|
ctx_text = await resolve_edges_to_text(ctx)
|
||||||
|
lower = ctx_text.lower()
|
||||||
|
assert "germany" in lower or "netherlands" in lower, (
|
||||||
|
f"{name}: Context did not contain 'germany' or 'netherlands'; got: {ctx!r}"
|
||||||
|
)
|
||||||
|
|
||||||
|
triplet_ctx = contexts["triplet"]
|
||||||
|
assert isinstance(triplet_ctx, str), "triplet: Context should be a string"
|
||||||
|
assert triplet_ctx.strip(), "triplet: Context should not be empty"
|
||||||
|
|
||||||
|
chunks_ctx = contexts["chunks"]
|
||||||
|
assert isinstance(chunks_ctx, list), "chunks: Context should be a list"
|
||||||
|
assert chunks_ctx, "chunks: Context should not be empty"
|
||||||
|
chunks_text = "\n".join(str(item.get("text", "")) for item in chunks_ctx).lower()
|
||||||
|
assert "germany" in chunks_text or "netherlands" in chunks_text
|
||||||
|
|
||||||
|
summaries_ctx = contexts["summaries"]
|
||||||
|
assert isinstance(summaries_ctx, list), "summaries: Context should be a list"
|
||||||
|
assert summaries_ctx, "summaries: Context should not be empty"
|
||||||
|
assert any(str(item.get("text", "")).strip() for item in summaries_ctx)
|
||||||
|
|
||||||
|
rag_ctx = contexts["rag_completion"]
|
||||||
|
assert isinstance(rag_ctx, str), "rag_completion: Context should be a string"
|
||||||
|
assert rag_ctx.strip(), "rag_completion: Context should not be empty"
|
||||||
|
|
||||||
|
temporal_ctx = contexts["temporal"]
|
||||||
|
assert isinstance(temporal_ctx, str), "temporal: Context should be a string"
|
||||||
|
assert temporal_ctx.strip(), "temporal: Context should not be empty"
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.asyncio
|
||||||
|
async def test_e2e_retriever_triplets_have_vector_distances(e2e_state):
|
||||||
|
for name, triplets in e2e_state["triplets"].items():
|
||||||
|
assert isinstance(triplets, list), f"{name}: Triplets should be a list"
|
||||||
|
assert triplets, f"{name}: Triplets list should not be empty"
|
||||||
|
for edge in triplets:
|
||||||
|
assert isinstance(edge, Edge), f"{name}: Elements should be Edge instances"
|
||||||
|
distance = edge.attributes.get("vector_distance")
|
||||||
|
node1_distance = edge.node1.attributes.get("vector_distance")
|
||||||
|
node2_distance = edge.node2.attributes.get("vector_distance")
|
||||||
|
assert isinstance(distance, float), f"{name}: vector_distance should be float"
|
||||||
|
assert 0 <= distance <= 1
|
||||||
|
assert 0 <= node1_distance <= 1
|
||||||
|
assert 0 <= node2_distance <= 1
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.asyncio
|
||||||
|
async def test_e2e_search_results_and_wrappers(e2e_state):
|
||||||
|
from cognee.context_global_variables import backend_access_control_enabled
|
||||||
|
|
||||||
|
sr = e2e_state["search_results"]
|
||||||
|
|
||||||
|
# Completion-like search types: validate wrapper + content
|
||||||
|
for name in [
|
||||||
|
"graph_completion",
|
||||||
|
"graph_completion_cot",
|
||||||
|
"graph_completion_context_extension",
|
||||||
|
"graph_summary_completion",
|
||||||
|
"triplet_completion",
|
||||||
|
"rag_completion",
|
||||||
|
"temporal",
|
||||||
|
]:
|
||||||
|
search_results = sr[name]
|
||||||
|
assert isinstance(search_results, list), f"{name}: should return a list"
|
||||||
|
assert len(search_results) == 1, f"{name}: expected single-element list"
|
||||||
|
|
||||||
|
if backend_access_control_enabled():
|
||||||
|
wrapper = search_results[0]
|
||||||
|
assert isinstance(wrapper, dict), (
|
||||||
|
f"{name}: expected wrapper dict in access control mode"
|
||||||
|
)
|
||||||
|
assert wrapper.get("dataset_id"), f"{name}: missing dataset_id in wrapper"
|
||||||
|
assert wrapper.get("dataset_name") == "test_dataset"
|
||||||
|
assert "graphs" in wrapper
|
||||||
|
text = wrapper["search_result"][0]
|
||||||
|
else:
|
||||||
|
text = search_results[0]
|
||||||
|
|
||||||
|
assert isinstance(text, str) and text.strip()
|
||||||
|
assert "netherlands" in text.lower()
|
||||||
|
|
||||||
|
# Non-LLM search types: CHUNKS / SUMMARIES validate payload list + text
|
||||||
|
for name in ["chunks", "summaries"]:
|
||||||
|
search_results = sr[name]
|
||||||
|
assert isinstance(search_results, list), f"{name}: should return a list"
|
||||||
|
assert search_results, f"{name}: should not be empty"
|
||||||
|
|
||||||
|
first = search_results[0]
|
||||||
|
assert isinstance(first, dict), f"{name}: expected dict entries"
|
||||||
|
|
||||||
|
payloads = search_results
|
||||||
|
if "search_result" in first and "text" not in first:
|
||||||
|
payloads = (first.get("search_result") or [None])[0]
|
||||||
|
|
||||||
|
assert isinstance(payloads, list) and payloads
|
||||||
|
assert isinstance(payloads[0], dict)
|
||||||
|
assert str(payloads[0].get("text", "")).strip()
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.asyncio
|
||||||
|
async def test_e2e_graph_side_effects_and_node_fields(e2e_state):
|
||||||
|
graph = e2e_state["graph_snapshot"]
|
||||||
|
nodes, edges = graph
|
||||||
|
|
||||||
|
type_counts = Counter(node_data[1].get("type", {}) for node_data in nodes)
|
||||||
|
edge_type_counts = Counter(edge_type[2] for edge_type in edges)
|
||||||
|
|
||||||
|
assert type_counts.get("CogneeUserInteraction", 0) == 4
|
||||||
|
assert type_counts.get("CogneeUserFeedback", 0) == 2
|
||||||
|
assert type_counts.get("NodeSet", 0) == 2
|
||||||
|
assert edge_type_counts.get("used_graph_element_to_answer", 0) >= 10
|
||||||
|
assert edge_type_counts.get("gives_feedback_to", 0) == 2
|
||||||
|
assert edge_type_counts.get("belongs_to_set", 0) >= 6
|
||||||
|
|
||||||
|
required_fields_user_interaction = {"question", "answer", "context"}
|
||||||
|
required_fields_feedback = {"feedback", "sentiment"}
|
||||||
|
|
||||||
|
for node_id, data in nodes:
|
||||||
|
if data.get("type") == "CogneeUserInteraction":
|
||||||
|
assert required_fields_user_interaction.issubset(data.keys())
|
||||||
|
for field in required_fields_user_interaction:
|
||||||
|
value = data[field]
|
||||||
|
assert isinstance(value, str) and value.strip()
|
||||||
|
|
||||||
|
if data.get("type") == "CogneeUserFeedback":
|
||||||
|
assert required_fields_feedback.issubset(data.keys())
|
||||||
|
for field in required_fields_feedback:
|
||||||
|
value = data[field]
|
||||||
|
assert isinstance(value, str) and value.strip()
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.asyncio
|
||||||
|
async def test_e2e_feedback_weight_calculation(feedback_state):
|
||||||
|
_nodes, edges = feedback_state["graph_snapshot"]
|
||||||
|
for _from_node, _to_node, relationship_name, properties in edges:
|
||||||
if relationship_name == "used_graph_element_to_answer":
|
if relationship_name == "used_graph_element_to_answer":
|
||||||
assert properties["feedback_weight"] >= 6, (
|
assert properties["feedback_weight"] >= 6, (
|
||||||
"Feedback weight calculation is not correct, it should be more then 6."
|
"Feedback weight calculation is not correct, it should be more then 6."
|
||||||
|
|
|
||||||
Loading…
Add table
Reference in a new issue