chore: retriever test reorganization + adding new tests (smoke e2e) (STEP 1.5) (#1888)

<!-- .github/pull_request_template.md -->

This PR restructures the end-to-end tests for the multi-database search
layer to improve maintainability, consistency, and coverage across
supported Python versions and database settings.

Key Changes

-Migrates the existing E2E tests to pytest for a more standard and
extensible testing framework.
-Introduces pytest fixtures to centralize and reuse test setup logic.
-Implements proper event loop management to support multiple
asynchronous pytest tests reliably.
-Improves SQLAlchemy handling in tests, ensuring clean setup and
teardown of database state.
-Extends multi-database E2E test coverage across all supported Python
versions.

Benefits

-Cleaner and more modular test structure.
-Reduced duplication and clearer test intent through fixtures.
-More reliable async test execution.
-Better alignment with our supported Python version matrix.

## Type of Change
<!-- Please check the relevant option -->
- [ ] Bug fix (non-breaking change that fixes an issue)
- [x] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [x] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):

## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->

## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [x] **I have tested my changes thoroughly before submitting this PR**
- [x] **This PR contains minimal changes necessary to address the
issue/feature**
- [x] My code follows the project's coding standards and style
guidelines
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have added necessary documentation (if applicable)
- [x] All new and existing tests pass
- [x] I have searched existing PRs to ensure this change hasn't been
submitted already
- [x] I have linked any relevant issues in the description
- [x] My commits have clear and descriptive messages

## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **Tests**
* Expanded end-to-end test suite for the search database with
comprehensive setup/teardown, new session-scoped fixtures, and multiple
tests validating graph/vector consistency, retriever contexts, triplet
metadata, search result shapes, side effects, and feedback-weight
behavior.

* **Chores**
* CI updated to run matrixed test jobs across multiple Python versions
and standardize test execution for more consistent, parallelized runs.

<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

.github/workflows/search_db_tests.yml

@@ -11,12 +11,21 @@ on:
         type: string
         default: "all"
         description: "Which vector databases to test (comma-separated list or 'all')"
+      python-versions:
+        required: false
+        type: string
+        default: '["3.10", "3.11", "3.12", "3.13"]'
+        description: "Python versions to test (JSON array)"
 
 jobs:
   run-kuzu-lance-sqlite-search-tests:
-    name: Search test for Kuzu/LanceDB/Sqlite
+    name: Search test for Kuzu/LanceDB/Sqlite (Python ${{ matrix.python-version }})
     runs-on: ubuntu-22.04
     if: ${{ inputs.databases == 'all' || contains(inputs.databases, 'kuzu/lance/sqlite') }}
+    strategy:
+      matrix:
+        python-version: ${{ fromJSON(inputs.python-versions) }}
+      fail-fast: false
     steps:
       - name: Check out
         uses: actions/checkout@v4
@@ -26,7 +35,7 @@ jobs:
       - name: Cognee Setup
         uses: ./.github/actions/cognee_setup
         with:
-          python-version: ${{ inputs.python-version }}
+          python-version: ${{ matrix.python-version }}
 
       - name: Dependencies already installed
         run: echo "Dependencies already installed in setup"
@@ -45,13 +54,16 @@ jobs:
           GRAPH_DATABASE_PROVIDER: 'kuzu'
           VECTOR_DB_PROVIDER: 'lancedb'
           DB_PROVIDER: 'sqlite'
-        run: uv run python ./cognee/tests/test_search_db.py
+        run: uv run pytest cognee/tests/test_search_db.py -v --log-level=INFO
 
   run-neo4j-lance-sqlite-search-tests:
-    name: Search test for Neo4j/LanceDB/Sqlite
+    name: Search test for Neo4j/LanceDB/Sqlite (Python ${{ matrix.python-version }})
     runs-on: ubuntu-22.04
     if: ${{ inputs.databases == 'all' || contains(inputs.databases, 'neo4j/lance/sqlite') }}
-
+    strategy:
+      matrix:
+        python-version: ${{ fromJSON(inputs.python-versions) }}
+      fail-fast: false
     steps:
       - name: Check out
         uses: actions/checkout@v4
@@ -61,7 +73,7 @@ jobs:
       - name: Cognee Setup
         uses: ./.github/actions/cognee_setup
         with:
-          python-version: ${{ inputs.python-version }}
+          python-version: ${{ matrix.python-version }}
 
       - name: Setup Neo4j with GDS
         uses: ./.github/actions/setup_neo4j
@@ -88,12 +100,16 @@ jobs:
           GRAPH_DATABASE_URL: ${{ steps.neo4j.outputs.neo4j-url }}
           GRAPH_DATABASE_USERNAME: ${{ steps.neo4j.outputs.neo4j-username }}
           GRAPH_DATABASE_PASSWORD: ${{ steps.neo4j.outputs.neo4j-password }}
-        run: uv run python ./cognee/tests/test_search_db.py
+        run: uv run pytest cognee/tests/test_search_db.py -v --log-level=INFO
 
   run-kuzu-pgvector-postgres-search-tests:
-      name: Search test for Kuzu/PGVector/Postgres
+      name: Search test for Kuzu/PGVector/Postgres (Python ${{ matrix.python-version }})
       runs-on: ubuntu-22.04
       if: ${{ inputs.databases == 'all' || contains(inputs.databases, 'kuzu/pgvector/postgres') }}
+      strategy:
+        matrix:
+          python-version: ${{ fromJSON(inputs.python-versions) }}
+        fail-fast: false
       services:
         postgres:
           image: pgvector/pgvector:pg17
@@ -117,7 +133,7 @@ jobs:
         - name: Cognee Setup
           uses: ./.github/actions/cognee_setup
           with:
-            python-version: ${{ inputs.python-version }}
+            python-version: ${{ matrix.python-version }}
             extra-dependencies: "postgres"
 
         - name: Dependencies already installed
@@ -143,12 +159,16 @@ jobs:
             DB_PORT: 5432
             DB_USERNAME: cognee
             DB_PASSWORD: cognee
-          run: uv run python ./cognee/tests/test_search_db.py
+          run: uv run pytest cognee/tests/test_search_db.py -v --log-level=INFO
 
   run-neo4j-pgvector-postgres-search-tests:
-    name: Search test for Neo4j/PGVector/Postgres
+    name: Search test for Neo4j/PGVector/Postgres (Python ${{ matrix.python-version }})
     runs-on: ubuntu-22.04
     if: ${{ inputs.databases == 'all' || contains(inputs.databases, 'neo4j/pgvector/postgres') }}
+    strategy:
+      matrix:
+        python-version: ${{ fromJSON(inputs.python-versions) }}
+      fail-fast: false
     services:
       postgres:
         image: pgvector/pgvector:pg17
@@ -172,7 +192,7 @@ jobs:
       - name: Cognee Setup
         uses: ./.github/actions/cognee_setup
         with:
-          python-version: ${{ inputs.python-version }}
+          python-version: ${{ matrix.python-version }}
           extra-dependencies: "postgres"
 
       - name: Setup Neo4j with GDS
@@ -205,4 +225,4 @@ jobs:
           DB_PORT: 5432
           DB_USERNAME: cognee
           DB_PASSWORD: cognee
-        run: uv run python ./cognee/tests/test_search_db.py
+        run: uv run pytest cognee/tests/test_search_db.py -v --log-level=INFO

cognee/tests/test_search_db.py

@@ -1,5 +1,10 @@
 import pathlib
 import os
+import asyncio
+import pytest
+import pytest_asyncio
+from collections import Counter
+
 import cognee
 from cognee.infrastructure.databases.graph import get_graph_engine
 from cognee.infrastructure.databases.vector import get_vector_engine
@@ -13,127 +18,172 @@ from cognee.modules.retrieval.graph_completion_cot_retriever import GraphComplet
 from cognee.modules.retrieval.graph_summary_completion_retriever import (
     GraphSummaryCompletionRetriever,
 )
+from cognee.modules.retrieval.chunks_retriever import ChunksRetriever
+from cognee.modules.retrieval.summaries_retriever import SummariesRetriever
+from cognee.modules.retrieval.completion_retriever import CompletionRetriever
+from cognee.modules.retrieval.temporal_retriever import TemporalRetriever
 from cognee.modules.retrieval.triplet_retriever import TripletRetriever
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.search.types import SearchType
 from cognee.modules.users.methods import get_default_user
-from collections import Counter
 
 logger = get_logger()
 
 
-async def main():
+async def _reset_engines_and_prune() -> None:
-    # This test runs for multiple db settings, to run this locally set the corresponding db envs
+    """Reset db engine caches and prune data/system.
+
+    Kept intentionally identical to the inlined setup logic to avoid event loop issues when
+    using deployed databases (Neo4j, PostgreSQL) and to ensure fresh instances per run.
+    """
+    # Dispose of existing engines and clear caches to ensure fresh instances for each test
+    try:
+        from cognee.infrastructure.databases.vector import get_vector_engine
+
+        vector_engine = get_vector_engine()
+        # Dispose SQLAlchemy engine connection pool if it exists
+        if hasattr(vector_engine, "engine") and hasattr(vector_engine.engine, "dispose"):
+            await vector_engine.engine.dispose(close=True)
+    except Exception:
+        # Engine might not exist yet
+        pass
+
+    from cognee.infrastructure.databases.graph.get_graph_engine import create_graph_engine
+    from cognee.infrastructure.databases.vector.create_vector_engine import create_vector_engine
+    from cognee.infrastructure.databases.relational.create_relational_engine import (
+        create_relational_engine,
+    )
+
+    create_graph_engine.cache_clear()
+    create_vector_engine.cache_clear()
+    create_relational_engine.cache_clear()
+
     await cognee.prune.prune_data()
     await cognee.prune.prune_system(metadata=True)
 
-    dataset_name = "test_dataset"
 
+async def _seed_default_dataset(dataset_name: str) -> dict:
+    """Add the shared test dataset contents and run cognify (same steps/order as before)."""
     text_1 = """Germany is located in europe right next to the Netherlands"""
+
+    logger.info(f"Adding text data to dataset: {dataset_name}")
     await cognee.add(text_1, dataset_name)
 
     explanation_file_path_quantum = os.path.join(
         pathlib.Path(__file__).parent, "test_data/Quantum_computers.txt"
     )
 
+    logger.info(f"Adding file data to dataset: {dataset_name}")
     await cognee.add([explanation_file_path_quantum], dataset_name)
 
+    logger.info(f"Running cognify on dataset: {dataset_name}")
     await cognee.cognify([dataset_name])
 
+    return {
+        "dataset_name": dataset_name,
+        "text_1": text_1,
+        "explanation_file_path_quantum": explanation_file_path_quantum,
+    }
+
+
+@pytest.fixture(scope="session")
+def event_loop():
+    """Use a single asyncio event loop for this test module.
+
+    This helps avoid "Future attached to a different loop" when running multiple async
+    tests that share clients/engines.
+    """
+    loop = asyncio.new_event_loop()
+    try:
+        yield loop
+    finally:
+        loop.close()
+
+
+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
+
+    dataset_name = "test_dataset"
+    logger.info("Starting test setup: pruning data and system")
+    await _reset_engines_and_prune()
+    state = await _seed_default_dataset(dataset_name=dataset_name)
+
     user = await get_default_user()
     from cognee.memify_pipelines.create_triplet_embeddings import create_triplet_embeddings
 
+    logger.info("Creating triplet embeddings")
     await create_triplet_embeddings(user=user, dataset=dataset_name, triplets_batch_size=5)
 
+    # Check if Triplet_text collection was created
+    vector_engine = get_vector_engine()
+    has_collection = await vector_engine.has_collection(collection_name="Triplet_text")
+    logger.info(f"Triplet_text collection exists after creation: {has_collection}")
+
+    if has_collection:
+        collection = await vector_engine.get_collection("Triplet_text")
+        count = await collection.count_rows() if hasattr(collection, "count_rows") else "unknown"
+        logger.info(f"Triplet_text collection row count: {count}")
+
+    return state
+
+
+async def setup_test_environment_for_feedback():
+    """Helper function to set up test environment for feedback weight calculation test."""
+    dataset_name = "test_dataset"
+    await _reset_engines_and_prune()
+    return await _seed_default_dataset(dataset_name=dataset_name)
+
+
+@pytest_asyncio.fixture(scope="session")
+async def e2e_state():
+    """Compute E2E artifacts once; tests only assert.
+
+    This avoids repeating expensive setup and LLM calls across multiple tests.
+    """
+    await setup_test_environment()
+
+    # --- Graph/vector engine consistency ---
     graph_engine = await get_graph_engine()
-    nodes, edges = await graph_engine.get_graph_data()
+    _nodes, edges = await graph_engine.get_graph_data()
 
     vector_engine = get_vector_engine()
     collection = await vector_engine.search(
-        query_text="Test", limit=None, collection_name="Triplet_text"
+        collection_name="Triplet_text", query_text="Test", limit=None
     )
 
-    assert len(edges) == len(collection), (
+    # --- Retriever contexts ---
-        f"Expected {len(edges)} edges but got {len(collection)} in Triplet_text collection"
+    query = "Next to which country is Germany located?"
-    )
 
-    context_gk = await GraphCompletionRetriever().get_context(
+    contexts = {
-        query="Next to which country is Germany located?"
+        "graph_completion": await GraphCompletionRetriever().get_context(query=query),
-    )
+        "graph_completion_cot": await GraphCompletionCotRetriever().get_context(query=query),
-    context_gk_cot = await GraphCompletionCotRetriever().get_context(
+        "graph_completion_context_extension": await GraphCompletionContextExtensionRetriever().get_context(
-        query="Next to which country is Germany located?"
+            query=query
-    )
+        ),
-    context_gk_ext = await GraphCompletionContextExtensionRetriever().get_context(
+        "graph_summary_completion": await GraphSummaryCompletionRetriever().get_context(
-        query="Next to which country is Germany located?"
+            query=query
-    )
+        ),
-    context_gk_sum = await GraphSummaryCompletionRetriever().get_context(
+        "chunks": await ChunksRetriever(top_k=5).get_context(query=query),
-        query="Next to which country is Germany located?"
+        "summaries": await SummariesRetriever(top_k=5).get_context(query=query),
-    )
+        "rag_completion": await CompletionRetriever(top_k=3).get_context(query=query),
-    context_triplet = await TripletRetriever().get_context(
+        "temporal": await TemporalRetriever(top_k=5).get_context(query=query),
-        query="Next to which country is Germany located?"
+        "triplet": await TripletRetriever().get_context(query=query),
-    )
+    }
 
-    for name, context in [
+    # --- Retriever triplets + vector distance validation ---
-        ("GraphCompletionRetriever", context_gk),
+    triplets = {
-        ("GraphCompletionCotRetriever", context_gk_cot),
+        "graph_completion": await GraphCompletionRetriever().get_triplets(query=query),
-        ("GraphCompletionContextExtensionRetriever", context_gk_ext),
+        "graph_completion_cot": await GraphCompletionCotRetriever().get_triplets(query=query),
-        ("GraphSummaryCompletionRetriever", context_gk_sum),
+        "graph_completion_context_extension": await GraphCompletionContextExtensionRetriever().get_triplets(
-    ]:
+            query=query
-        assert isinstance(context, list), f"{name}: Context should be a list"
+        ),
-        assert len(context) > 0, f"{name}: Context should not be empty"
+        "graph_summary_completion": await GraphSummaryCompletionRetriever().get_triplets(
-
+            query=query
-        context_text = await resolve_edges_to_text(context)
+        ),
-        lower = context_text.lower()
+    }
-        assert "germany" in lower or "netherlands" in lower, (
-            f"{name}: Context did not contain 'germany' or 'netherlands'; got: {context!r}"
-        )
-
-    assert isinstance(context_triplet, str), "TripletRetriever: Context should be a string"
-    assert len(context_triplet) > 0, "TripletRetriever: Context should not be empty"
-    lower_triplet = context_triplet.lower()
-    assert "germany" in lower_triplet or "netherlands" in lower_triplet, (
-        f"TripletRetriever: Context did not contain 'germany' or 'netherlands'; got: {context_triplet!r}"
-    )
-
-    triplets_gk = await GraphCompletionRetriever().get_triplets(
-        query="Next to which country is Germany located?"
-    )
-    triplets_gk_cot = await GraphCompletionCotRetriever().get_triplets(
-        query="Next to which country is Germany located?"
-    )
-    triplets_gk_ext = await GraphCompletionContextExtensionRetriever().get_triplets(
-        query="Next to which country is Germany located?"
-    )
-    triplets_gk_sum = await GraphSummaryCompletionRetriever().get_triplets(
-        query="Next to which country is Germany located?"
-    )
-
-    for name, triplets in [
-        ("GraphCompletionRetriever", triplets_gk),
-        ("GraphCompletionCotRetriever", triplets_gk_cot),
-        ("GraphCompletionContextExtensionRetriever", triplets_gk_ext),
-        ("GraphSummaryCompletionRetriever", triplets_gk_sum),
-    ]:
-        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, got {type(distance)}"
-            )
-            assert 0 <= distance <= 1, (
-                f"{name}: edge vector_distance {distance} out of [0,1], this shouldn't happen"
-            )
-            assert 0 <= node1_distance <= 1, (
-                f"{name}: node_1 vector_distance {distance} out of [0,1], this shouldn't happen"
-            )
-            assert 0 <= node2_distance <= 1, (
-                f"{name}: node_2 vector_distance {distance} out of [0,1], this shouldn't happen"
-            )
 
+    # --- Search operations + graph side effects ---
     completion_gk = await cognee.search(
         query_type=SearchType.GRAPH_COMPLETION,
         query_text="Where is germany located, next to which country?",
@@ -164,6 +214,26 @@ async def main():
         query_text="Next to which country is Germany located?",
         save_interaction=True,
     )
+    completion_chunks = await cognee.search(
+        query_type=SearchType.CHUNKS,
+        query_text="Germany",
+        save_interaction=False,
+    )
+    completion_summaries = await cognee.search(
+        query_type=SearchType.SUMMARIES,
+        query_text="Germany",
+        save_interaction=False,
+    )
+    completion_rag = await cognee.search(
+        query_type=SearchType.RAG_COMPLETION,
+        query_text="Next to which country is Germany located?",
+        save_interaction=False,
+    )
+    completion_temporal = await cognee.search(
+        query_type=SearchType.TEMPORAL,
+        query_text="Next to which country is Germany located?",
+        save_interaction=False,
+    )
 
     await cognee.search(
         query_type=SearchType.FEEDBACK,
@@ -171,134 +241,217 @@ async def main():
         last_k=1,
     )
 
-    for name, search_results in [
+    # Snapshot after all E2E operations above (used by assertion-only tests).
-        ("GRAPH_COMPLETION", completion_gk),
+    graph_snapshot = await (await get_graph_engine()).get_graph_data()
-        ("GRAPH_COMPLETION_COT", completion_cot),
-        ("GRAPH_COMPLETION_CONTEXT_EXTENSION", completion_ext),
-        ("GRAPH_SUMMARY_COMPLETION", completion_sum),
-        ("TRIPLET_COMPLETION", completion_triplet),
-    ]:
-        assert isinstance(search_results, list), f"{name}: should return a list"
-        assert len(search_results) == 1, (
-            f"{name}: expected single-element list, got {len(search_results)}"
-        )
 
-        from cognee.context_global_variables import backend_access_control_enabled
+    return {
+        "graph_edges": edges,
+        "triplet_collection": collection,
+        "vector_collection_edges_count": len(collection),
+        "graph_edges_count": len(edges),
+        "contexts": contexts,
+        "triplets": triplets,
+        "search_results": {
+            "graph_completion": completion_gk,
+            "graph_completion_cot": completion_cot,
+            "graph_completion_context_extension": completion_ext,
+            "graph_summary_completion": completion_sum,
+            "triplet_completion": completion_triplet,
+            "chunks": completion_chunks,
+            "summaries": completion_summaries,
+            "rag_completion": completion_rag,
+            "temporal": completion_temporal,
+        },
+        "graph_snapshot": graph_snapshot,
+    }
 
-        if backend_access_control_enabled():
-            text = search_results[0]["search_result"][0]
-        else:
-            text = search_results[0]
-        assert isinstance(text, str), f"{name}: element should be a string"
-        assert text.strip(), f"{name}: string should not be empty"
-        assert "netherlands" in text.lower(), (
-            f"{name}: expected 'netherlands' in result, got: {text!r}"
-        )
 
-    graph_engine = await get_graph_engine()
+@pytest_asyncio.fixture(scope="session")
-    graph = await graph_engine.get_graph_data()
+async def feedback_state():
-
+    """Feedback-weight scenario computed once (fresh environment)."""
-    type_counts = Counter(node_data[1].get("type", {}) for node_data in graph[0])
+    await setup_test_environment_for_feedback()
-
-    edge_type_counts = Counter(edge_type[2] for edge_type in graph[1])
-
-    # Assert there are exactly 4 CogneeUserInteraction nodes.
-    assert type_counts.get("CogneeUserInteraction", 0) == 4, (
-        f"Expected exactly four CogneeUserInteraction nodes, but found {type_counts.get('CogneeUserInteraction', 0)}"
-    )
-
-    # Assert there is exactly two CogneeUserFeedback nodes.
-    assert type_counts.get("CogneeUserFeedback", 0) == 2, (
-        f"Expected exactly two CogneeUserFeedback nodes, but found {type_counts.get('CogneeUserFeedback', 0)}"
-    )
-
-    # Assert there is exactly two NodeSet.
-    assert type_counts.get("NodeSet", 0) == 2, (
-        f"Expected exactly two NodeSet nodes, but found {type_counts.get('NodeSet', 0)}"
-    )
-
-    # Assert that there are at least 10 'used_graph_element_to_answer' edges.
-    assert edge_type_counts.get("used_graph_element_to_answer", 0) >= 10, (
-        f"Expected at least ten 'used_graph_element_to_answer' edges, but found {edge_type_counts.get('used_graph_element_to_answer', 0)}"
-    )
-
-    # Assert that there are exactly 2 'gives_feedback_to' edges.
-    assert edge_type_counts.get("gives_feedback_to", 0) == 2, (
-        f"Expected exactly two 'gives_feedback_to' edges, but found {edge_type_counts.get('gives_feedback_to', 0)}"
-    )
-
-    # Assert that there are at least 6 'belongs_to_set' edges.
-    assert edge_type_counts.get("belongs_to_set", 0) == 6, (
-        f"Expected at least six 'belongs_to_set' edges, but found {edge_type_counts.get('belongs_to_set', 0)}"
-    )
-
-    nodes = graph[0]
-
-    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()), (
-                f"Node {node_id} is missing fields: {required_fields_user_interaction - set(data.keys())}"
-            )
-
-            for field in required_fields_user_interaction:
-                value = data[field]
-                assert isinstance(value, str) and value.strip(), (
-                    f"Node {node_id} has invalid value for '{field}': {value!r}"
-                )
-
-        if data.get("type") == "CogneeUserFeedback":
-            assert required_fields_feedback.issubset(data.keys()), (
-                f"Node {node_id} is missing fields: {required_fields_feedback - set(data.keys())}"
-            )
-
-            for field in required_fields_feedback:
-                value = data[field]
-                assert isinstance(value, str) and value.strip(), (
-                    f"Node {node_id} has invalid value for '{field}': {value!r}"
-                )
-
-    await cognee.prune.prune_data()
-    await cognee.prune.prune_system(metadata=True)
-
-    await cognee.add(text_1, dataset_name)
-
-    await cognee.add([text], dataset_name)
-
-    await cognee.cognify([dataset_name])
 
     await cognee.search(
         query_type=SearchType.GRAPH_COMPLETION,
         query_text="Next to which country is Germany located?",
         save_interaction=True,
     )
-
     await cognee.search(
         query_type=SearchType.FEEDBACK,
         query_text="This was the best answer I've ever seen",
         last_k=1,
     )
-
     await cognee.search(
         query_type=SearchType.FEEDBACK,
         query_text="Wow the correctness of this answer blows my mind",
         last_k=1,
     )
 
+    graph_engine = await get_graph_engine()
     graph = await graph_engine.get_graph_data()
+    return {"graph_snapshot": graph}
 
-    edges = graph[1]
 
-    for from_node, to_node, relationship_name, properties in edges:
+@pytest.mark.asyncio
+async def test_e2e_graph_vector_consistency(e2e_state):
+    """Graph and vector stores contain the same triplet edges."""
+    assert e2e_state["graph_edges_count"] == e2e_state["vector_collection_edges_count"]
+
+
+@pytest.mark.asyncio
+async def test_e2e_retriever_contexts(e2e_state):
+    """All retrievers return non-empty, well-typed contexts."""
+    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):
+    """Graph retriever triplets include sane vector_distance metadata."""
+    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):
+    """Search returns expected shapes across search types and access modes."""
+    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):
+    """Search interactions create expected graph nodes/edges and required fields."""
+    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):
+    """Positive feedback increases used_graph_element_to_answer feedback_weight."""
+    _nodes, edges = feedback_state["graph_snapshot"]
+    for _from_node, _to_node, relationship_name, properties in edges:
         if relationship_name == "used_graph_element_to_answer":
             assert properties["feedback_weight"] >= 6, (
                 "Feedback weight calculation is not correct, it should be more then 6."
             )
-
-
-if __name__ == "__main__":
-    import asyncio
-
-    asyncio.run(main())