* Separate unit and integration tests to allow external contributors This change addresses the issue where external contributor PRs fail unit tests because GitHub secrets (API keys) are unavailable to external PRs for security reasons. Changes: - Split GitHub Actions workflow into two jobs: - unit-tests: Runs without API keys or database connections (all PRs) - integration-tests: Runs only for internal contributors with API keys - Renamed test_bge_reranker_client.py to test_bge_reranker_client_int.py to follow naming convention for integration tests - Unit tests now skip all tests requiring databases or API keys - Integration tests properly separated into: - Database integration tests (no API keys) - API integration tests (requires OPENAI_API_KEY, etc.) The unit-tests job now: - Runs for all PRs (internal and external) - Requires no GitHub secrets - Disables all database drivers - Excludes all integration test files - Passes 93 tests successfully The integration-tests job: - Only runs for internal contributors (same repo PRs or pushes to main) - Has access to GitHub secrets - Tests database operations and API integrations - Uses conditional: github.event.pull_request.head.repo.full_name == github.repository 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Separate database tests from API integration tests Restructured the workflow into three distinct jobs: 1. unit-tests: Runs on all PRs, no external dependencies (93 tests) - No API keys required - No database connections required - Fast execution 2. database-integration-tests: Runs on all PRs with databases (NEW) - Requires Neo4j and FalkorDB services - No API keys required - Tests database operations without external API calls - Includes: test_graphiti_mock.py, test_falkordb_driver.py, and utils/maintenance tests 3. api-integration-tests: Runs only for internal contributors - Requires API keys (OPENAI_API_KEY, ANTHROPIC_API_KEY, etc.) - Conditional execution for same-repo PRs only - Tests that make actual API calls to LLM providers This ensures external contributor PRs can run both unit tests and database integration tests successfully, while API integration tests requiring secrets only run for internal contributors. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Disable Kuzu in CI database integration tests Kuzu requires downloading extensions from external URLs which fails in CI environment due to network restrictions. Disable Kuzu for database and API integration tests. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Use pytest -k filter to skip Kuzu tests instead of DISABLE_KUZU The original workflow used -k "neo4j" to filter tests. Kuzu requires downloading FTS extensions from external URLs which fails in CI. Use -k "neo4j or falkordb" to run tests against available databases while skipping Kuzu parametrized tests. This maintains the same test coverage as the original workflow while properly separating unit, database, and API integration tests. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Upgrade Kuzu to v0.11.3+ to fix FTS extension download issue Kuzu v0.11.3+ has FTS extension pre-installed, eliminating the need to download it from external URLs. This fixes the "Could not establish connection" error when trying to download libfts.kuzu_extension in CI. Changes: - Upgrade kuzu dependency from >=0.11.2 to >=0.11.3 - Remove pytest -k filters to run all database tests (Neo4j, FalkorDB, Kuzu) - FTS extension is now available immediately without network calls 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Move pure unit tests from database integration to unit test job The reviewer correctly identified that test_bulk_utils.py, test_edge_operations.py, and test_node_operations.py are pure unit tests using only mocks - they don't require database connections. Changes: - Removed tests/utils/maintenance/ from ignore list (too broad) - Added specific ignore for test_temporal_operations_int.py (true integration test) - Moved test_bulk_utils.py, test_edge_operations.py, test_node_operations.py to unit tests - Kept test_graphiti_mock.py in database integration (uses real graph_driver fixture) This reduces database integration test time and properly categorizes tests. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Skip flaky LLM-based tests in test_temporal_operations_int.py - test_get_edge_contradictions_multiple_existing - test_invalidate_edges_partial_update These tests rely on OpenAI LLM responses for edge contradiction detection and produce non-deterministic results. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Use pytest -k filter for API integration tests Replace explicit file listing with `pytest tests/ -k "_int"` to automatically discover all integration tests in any subdirectory. This improves maintainability by eliminating the need to manually update the workflow when adding new integration test files. Excludes: - tests/driver/ (runs separately in database-integration-tests) - tests/test_graphiti_mock.py (runs separately in database-integration-tests) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Rename workflow from "Unit Tests" to "Tests" The workflow now runs multiple test types (unit, database integration, and API integration), so "Tests" is a more accurate name. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>
271 lines
7.8 KiB
Python
271 lines
7.8 KiB
Python
"""
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Copyright 2024, Zep Software, Inc.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import os
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from datetime import timedelta
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import pytest
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from dotenv import load_dotenv
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from graphiti_core.edges import EntityEdge
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from graphiti_core.llm_client import LLMConfig, OpenAIClient
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from graphiti_core.nodes import EntityNode, EpisodeType, EpisodicNode
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from graphiti_core.utils.datetime_utils import utc_now
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from graphiti_core.utils.maintenance.temporal_operations import (
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get_edge_contradictions,
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)
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load_dotenv()
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def setup_llm_client():
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return OpenAIClient(
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LLMConfig(
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api_key=os.getenv('TEST_OPENAI_API_KEY'),
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model=os.getenv('TEST_OPENAI_MODEL'),
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base_url='https://api.openai.com/v1',
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)
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)
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def create_test_data():
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now = utc_now()
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# Create edges
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existing_edge = EntityEdge(
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uuid='e1',
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source_node_uuid='1',
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target_node_uuid='2',
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name='LIKES',
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fact='Alice likes Bob',
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created_at=now - timedelta(days=1),
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group_id='1',
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)
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new_edge = EntityEdge(
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uuid='e2',
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source_node_uuid='1',
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target_node_uuid='2',
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name='DISLIKES',
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fact='Alice dislikes Bob',
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created_at=now,
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group_id='1',
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)
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# Create current episode
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current_episode = EpisodicNode(
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name='Current Episode',
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content='Alice now dislikes Bob',
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created_at=now,
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valid_at=now,
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source=EpisodeType.message,
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source_description='Test episode for unit testing',
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group_id='1',
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)
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# Create previous episodes
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previous_episodes = [
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EpisodicNode(
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name='Previous Episode',
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content='Alice liked Bob',
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created_at=now - timedelta(days=1),
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valid_at=now - timedelta(days=1),
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source=EpisodeType.message,
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source_description='Test previous episode for unit testing',
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group_id='1',
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)
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]
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return existing_edge, new_edge, current_episode, previous_episodes
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_get_edge_contradictions():
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existing_edge, new_edge, current_episode, previous_episodes = create_test_data()
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invalidated_edges = await get_edge_contradictions(setup_llm_client(), new_edge, [existing_edge])
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assert len(invalidated_edges) == 1
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assert invalidated_edges[0].uuid == existing_edge.uuid
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_get_edge_contradictions_no_contradictions():
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_, new_edge, current_episode, previous_episodes = create_test_data()
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invalidated_edges = await get_edge_contradictions(setup_llm_client(), new_edge, [])
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assert len(invalidated_edges) == 0
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@pytest.mark.skip(reason='Flaky LLM-based test with non-deterministic results')
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_get_edge_contradictions_multiple_existing():
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existing_edge1, new_edge, _, _ = create_test_data()
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existing_edge2, _, _, _ = create_test_data()
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existing_edge2.uuid = 'e3'
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existing_edge2.name = 'KNOWS'
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existing_edge2.fact = 'Alice knows Bob'
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invalidated_edges = await get_edge_contradictions(
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setup_llm_client(), new_edge, [existing_edge1, existing_edge2]
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)
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assert len(invalidated_edges) == 1
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assert invalidated_edges[0].uuid == existing_edge1.uuid
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# Helper function to create more complex test data
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def create_complex_test_data():
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now = utc_now()
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# Create nodes
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node1 = EntityNode(uuid='1', name='Alice', labels=['Person'], created_at=now, group_id='1')
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node2 = EntityNode(uuid='2', name='Bob', labels=['Person'], created_at=now, group_id='1')
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node3 = EntityNode(uuid='3', name='Charlie', labels=['Person'], created_at=now, group_id='1')
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node4 = EntityNode(
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uuid='4', name='Company XYZ', labels=['Organization'], created_at=now, group_id='1'
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)
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# Create edges
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existing_edge1 = EntityEdge(
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uuid='e1',
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source_node_uuid='1',
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target_node_uuid='2',
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name='LIKES',
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fact='Alice likes Bob',
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group_id='1',
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created_at=now - timedelta(days=5),
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)
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existing_edge2 = EntityEdge(
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uuid='e2',
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source_node_uuid='1',
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target_node_uuid='3',
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name='FRIENDS_WITH',
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fact='Alice is friends with Charlie',
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group_id='1',
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created_at=now - timedelta(days=3),
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)
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existing_edge3 = EntityEdge(
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uuid='e3',
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source_node_uuid='2',
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target_node_uuid='4',
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name='WORKS_FOR',
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fact='Bob works for Company XYZ',
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group_id='1',
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created_at=now - timedelta(days=2),
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)
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return [existing_edge1, existing_edge2, existing_edge3], [
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node1,
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node2,
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node3,
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node4,
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]
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_invalidate_edges_complex():
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existing_edges, nodes = create_complex_test_data()
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# Create a new edge that contradicts an existing one
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new_edge = EntityEdge(
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uuid='e4',
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source_node_uuid='1',
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target_node_uuid='2',
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name='DISLIKES',
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fact='Alice dislikes Bob',
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group_id='1',
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created_at=utc_now(),
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)
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invalidated_edges = await get_edge_contradictions(setup_llm_client(), new_edge, existing_edges)
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assert len(invalidated_edges) == 1
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assert invalidated_edges[0].uuid == 'e1'
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_get_edge_contradictions_temporal_update():
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existing_edges, nodes = create_complex_test_data()
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# Create a new edge that updates an existing one with new information
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new_edge = EntityEdge(
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uuid='e5',
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source_node_uuid='2',
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target_node_uuid='4',
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name='LEFT_JOB',
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fact='Bob no longer works at at Company XYZ',
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group_id='1',
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created_at=utc_now(),
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)
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invalidated_edges = await get_edge_contradictions(setup_llm_client(), new_edge, existing_edges)
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assert len(invalidated_edges) == 1
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assert invalidated_edges[0].uuid == 'e3'
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_get_edge_contradictions_no_effect():
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existing_edges, nodes = create_complex_test_data()
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# Create a new edge that doesn't invalidate any existing edges
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new_edge = EntityEdge(
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uuid='e8',
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source_node_uuid='3',
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target_node_uuid='4',
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name='APPLIED_TO',
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fact='Charlie applied to Company XYZ',
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group_id='1',
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created_at=utc_now(),
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)
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invalidated_edges = await get_edge_contradictions(setup_llm_client(), new_edge, existing_edges)
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assert len(invalidated_edges) == 0
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@pytest.mark.skip(reason='Flaky LLM-based test with non-deterministic results')
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_invalidate_edges_partial_update():
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existing_edges, nodes = create_complex_test_data()
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# Create a new edge that partially updates an existing one
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new_edge = EntityEdge(
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uuid='e9',
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source_node_uuid='2',
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target_node_uuid='4',
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name='CHANGED_POSITION',
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fact='Bob changed his position at Company XYZ',
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group_id='1',
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created_at=utc_now(),
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)
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invalidated_edges = await get_edge_contradictions(setup_llm_client(), new_edge, existing_edges)
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assert len(invalidated_edges) == 0 # The existing edge is not invalidated, just updated
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# Run the tests
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if __name__ == '__main__':
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pytest.main([__file__])
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