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ae57e651ea
Command tests: - tests/commands/: test_base_command, test_cmd_command, test_dice_command, test_hello_command, test_help_command, test_magic8_command, test_ping_command, test_roll_command - tests/test_bridge_bot_responses, test_channel_manager_logic, test_checkin_service, test_command_manager, test_command_prefix, test_config_merge, test_config_validation, test_db_manager, test_plugin_loader, test_profanity_filter, test_security_utils, test_service_plugin_loader, test_utils Integration and unit: - tests/integration/: test_path_graph_integration, test_path_resolution - tests/regression/: test_keyword_escapes - tests/unit/: test_mesh_graph, test_mesh_graph_edges, test_mesh_graph_multihop, test_mesh_graph_optimizations, test_mesh_graph_scoring, test_mesh_graph_validation, test_path_command_graph, test_path_command_graph_selection, test_path_command_multibyte Helpers: tests/conftest.py, tests/helpers.py
157 lines
6.1 KiB
Python
157 lines
6.1 KiB
Python
#!/usr/bin/env python3
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"""
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Unit tests for MeshGraph path validation
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"""
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from datetime import datetime, timedelta
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import pytest
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from tests.helpers import create_test_path
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@pytest.mark.unit
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class TestMeshGraphValidation:
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"""Test MeshGraph path validation functionality."""
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def test_validate_path_segment_exists(self, mesh_graph):
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"""Test validating an existing path segment."""
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mesh_graph.add_edge('01', '7e', hop_position=1)
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is_valid, confidence = mesh_graph.validate_path_segment('01', '7e')
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assert is_valid is True
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assert 0.0 <= confidence <= 1.0
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def test_validate_path_segment_nonexistent(self, mesh_graph):
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"""Test validating a non-existent path segment."""
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is_valid, confidence = mesh_graph.validate_path_segment('01', '99')
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assert is_valid is False
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assert confidence == 0.0
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def test_validate_path_segment_min_observations(self, mesh_graph):
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"""Test that validation respects min_observations threshold."""
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mesh_graph.add_edge('01', '7e')
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# Edge has observation_count=1
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is_valid, confidence = mesh_graph.validate_path_segment('01', '7e', min_observations=3)
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assert is_valid is False
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assert confidence == 0.0
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# Add more observations
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mesh_graph.add_edge('01', '7e')
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mesh_graph.add_edge('01', '7e')
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mesh_graph.add_edge('01', '7e')
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is_valid, confidence = mesh_graph.validate_path_segment('01', '7e', min_observations=3)
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assert is_valid is True
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def test_validate_path_segment_recency(self, mesh_graph):
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"""Test that validation considers recency of edge."""
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# Add edge with recent timestamp
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mesh_graph.add_edge('01', '7e')
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recent_is_valid, recent_confidence = mesh_graph.validate_path_segment('01', '7e')
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# Manually set old timestamp
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edge = mesh_graph.get_edge('01', '7e')
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edge['last_seen'] = datetime.now() - timedelta(days=30)
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stale_is_valid, stale_confidence = mesh_graph.validate_path_segment('01', '7e')
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# Recent edge should have higher confidence
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assert recent_confidence > stale_confidence
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def test_validate_path_segment_bidirectional(self, mesh_graph):
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"""Test bidirectional edge bonus."""
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# Add unidirectional edge
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mesh_graph.add_edge('01', '7e')
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is_valid, unidirectional_confidence = mesh_graph.validate_path_segment(
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'01', '7e', check_bidirectional=True
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)
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# Add reverse edge
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mesh_graph.add_edge('7e', '01')
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is_valid, bidirectional_confidence = mesh_graph.validate_path_segment(
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'01', '7e', check_bidirectional=True
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)
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# Bidirectional should have higher confidence
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assert bidirectional_confidence > unidirectional_confidence
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def test_validate_path_segment_bidirectional_min_observations(self, mesh_graph):
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"""Test that bidirectional check respects min_observations."""
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# Add forward edge with enough observations
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mesh_graph.add_edge('01', '7e', hop_position=1)
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mesh_graph.add_edge('01', '7e', hop_position=1)
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mesh_graph.add_edge('01', '7e', hop_position=1) # 3 observations
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mesh_graph.add_edge('7e', '01') # Reverse edge with only 1 observation
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# With min_observations=3, forward edge should be valid
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is_valid, confidence = mesh_graph.validate_path_segment(
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'01', '7e', min_observations=3, check_bidirectional=True
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)
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# Should still be valid from forward edge, but no bidirectional bonus
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assert is_valid is True
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# Add more observations to reverse edge
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mesh_graph.add_edge('7e', '01')
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mesh_graph.add_edge('7e', '01')
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is_valid, confidence_with_bonus = mesh_graph.validate_path_segment(
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'01', '7e', min_observations=3, check_bidirectional=True
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)
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assert confidence_with_bonus > confidence
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def test_validate_path_single_node(self, mesh_graph):
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"""Test that single-node path is always valid."""
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is_valid, confidence = mesh_graph.validate_path(['01'])
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assert is_valid is True
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assert confidence == 1.0
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def test_validate_path_empty(self, mesh_graph):
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"""Test that empty path is always valid."""
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is_valid, confidence = mesh_graph.validate_path([])
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assert is_valid is True
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assert confidence == 1.0
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def test_validate_path_valid(self, populated_mesh_graph):
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"""Test validating a valid path."""
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path = create_test_path(['01', '7e', '86'])
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is_valid, confidence = populated_mesh_graph.validate_path(path)
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assert is_valid is True
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assert confidence > 0.0
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def test_validate_path_invalid_missing_edge(self, populated_mesh_graph):
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"""Test validating a path with missing edge."""
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path = create_test_path(['01', '99', '86']) # 01->99 doesn't exist
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is_valid, confidence = populated_mesh_graph.validate_path(path)
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assert is_valid is False
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assert confidence == 0.0
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def test_validate_path_invalid_insufficient_observations(self, mesh_graph):
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"""Test validating a path with edge below min_observations."""
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mesh_graph.add_edge('01', '7e') # Only 1 observation
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path = create_test_path(['01', '7e'])
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is_valid, confidence = mesh_graph.validate_path(path, min_observations=3)
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assert is_valid is False
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assert confidence == 0.0
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def test_validate_path_average_confidence(self, mesh_graph):
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"""Test that path validation returns average confidence."""
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# Create path with edges of different observation counts
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mesh_graph.add_edge('01', '7e')
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mesh_graph.add_edge('01', '7e') # 2 observations
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mesh_graph.add_edge('7e', '86')
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mesh_graph.add_edge('7e', '86')
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mesh_graph.add_edge('7e', '86')
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mesh_graph.add_edge('7e', '86')
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mesh_graph.add_edge('7e', '86') # 5 observations
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path = create_test_path(['01', '7e', '86'])
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is_valid, confidence = mesh_graph.validate_path(path)
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assert is_valid is True
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# Confidence should be average of both segments
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assert 0.0 < confidence < 1.0
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