"""
Comprehensive test coverage for core MCP tools - TASK_69 Coverage Expansion.
This module provides extensive testing for all FastMCP-based tools to achieve
near-100% test coverage as required by the user's testing directive.
"""
import pytest
import asyncio
from unittest.mock import AsyncMock, patch, MagicMock
from typing import Dict, Any, List
from fastmcp import Context
# Import core tool modules for testing with error handling
try:
from src.server.tools.quantum_ready_tools import (
mcp, km_analyze_quantum_readiness, km_upgrade_to_post_quantum,
km_prepare_quantum_interface, km_manage_quantum_security,
km_simulate_quantum_algorithms
)
QUANTUM_TOOLS_AVAILABLE = True
except ImportError as e:
# Skip quantum tools tests if imports fail
QUANTUM_TOOLS_AVAILABLE = False
# Create mock placeholders for tests
mcp = None
km_analyze_quantum_readiness = None
km_upgrade_to_post_quantum = None
km_prepare_quantum_interface = None
km_manage_quantum_security = None
km_simulate_quantum_algorithms = None
@pytest.mark.skipif(not QUANTUM_TOOLS_AVAILABLE, reason="Quantum tools imports not available")
class TestQuantumReadyTools:
"""Comprehensive test coverage for quantum ready MCP tools."""
@pytest.fixture
def mock_context(self):
"""Provide mock FastMCP context for tests."""
context = AsyncMock(spec=Context)
context.info = AsyncMock()
context.warn = AsyncMock()
context.error = AsyncMock()
context.report_progress = AsyncMock()
return context
@pytest.mark.asyncio
async def test_km_analyze_quantum_readiness_basic(self, mock_context):
"""Test basic quantum readiness analysis functionality."""
# Test with valid system scope
result = await km_analyze_quantum_readiness(
analysis_scope="system",
security_level="current",
include_vulnerabilities=True,
algorithm_assessment=True,
migration_planning=True,
compliance_check=True,
risk_analysis=True,
timeline_estimation=True,
ctx=mock_context
)
# Verify result structure
assert isinstance(result, dict)
assert "analysis_id" in result
assert "scope" in result
assert result["scope"] == "system"
assert "security_level" in result
assert result["security_level"] == "current"
assert "timestamp" in result
# Verify context was used for logging
mock_context.info.assert_called()
@pytest.mark.asyncio
async def test_km_analyze_quantum_readiness_all_scopes(self, mock_context):
"""Test quantum readiness analysis with all valid scopes."""
valid_scopes = ["system", "application", "cryptography", "protocols"]
for scope in valid_scopes:
result = await km_analyze_quantum_readiness(
analysis_scope=scope,
ctx=mock_context
)
assert isinstance(result, dict)
assert result["scope"] == scope
assert "success" not in result or result.get("success", True) is not False
@pytest.mark.asyncio
async def test_km_analyze_quantum_readiness_invalid_scope(self, mock_context):
"""Test quantum readiness analysis with invalid scope."""
result = await km_analyze_quantum_readiness(
analysis_scope="invalid_scope",
ctx=mock_context
)
assert isinstance(result, dict)
assert result["success"] is False
assert "error" in result
assert "Invalid analysis scope" in result["error"]
@pytest.mark.asyncio
async def test_km_analyze_quantum_readiness_security_levels(self, mock_context):
"""Test quantum readiness analysis with different security levels."""
security_levels = ["current", "post_quantum", "quantum_safe"]
for level in security_levels:
result = await km_analyze_quantum_readiness(
analysis_scope="system",
security_level=level,
ctx=mock_context
)
assert isinstance(result, dict)
assert result["security_level"] == level
@pytest.mark.asyncio
async def test_km_analyze_quantum_readiness_feature_toggles(self, mock_context):
"""Test quantum readiness analysis with various feature combinations."""
# Test with all features disabled
result = await km_analyze_quantum_readiness(
analysis_scope="system",
include_vulnerabilities=False,
algorithm_assessment=False,
migration_planning=False,
compliance_check=False,
risk_analysis=False,
timeline_estimation=False,
ctx=mock_context
)
assert isinstance(result, dict)
assert result["scope"] == "system"
# Test with selective feature enabling
result = await km_analyze_quantum_readiness(
analysis_scope="cryptography",
include_vulnerabilities=True,
algorithm_assessment=False,
migration_planning=True,
ctx=mock_context
)
assert isinstance(result, dict)
assert result["scope"] == "cryptography"
@pytest.mark.asyncio
async def test_km_upgrade_to_post_quantum_basic(self, mock_context):
"""Test basic post-quantum upgrade functionality."""
result = await km_upgrade_to_post_quantum(
component_type="application",
upgrade_scope="selective",
ctx=mock_context
)
assert isinstance(result, dict)
assert "upgrade_id" in result
assert "component_type" in result
assert result["component_type"] == "application"
assert "upgrade_scope" in result
assert result["upgrade_scope"] == "selective"
@pytest.mark.asyncio
async def test_km_upgrade_to_post_quantum_all_components(self, mock_context):
"""Test post-quantum upgrade with all component types."""
component_types = ["application", "system", "network", "database", "communication"]
for component in component_types:
result = await km_upgrade_to_post_quantum(
component_type=component,
upgrade_scope="full",
ctx=mock_context
)
assert isinstance(result, dict)
assert result["component_type"] == component
assert "upgrade_id" in result
@pytest.mark.asyncio
async def test_km_upgrade_to_post_quantum_invalid_component(self, mock_context):
"""Test post-quantum upgrade with invalid component type."""
result = await km_upgrade_to_post_quantum(
component_type="invalid_component",
upgrade_scope="full",
ctx=mock_context
)
assert isinstance(result, dict)
assert result["success"] is False
assert "error" in result
assert "Invalid component type" in result["error"]
@pytest.mark.asyncio
async def test_km_prepare_quantum_interface_basic(self, mock_context):
"""Test basic quantum interface preparation."""
result = await km_prepare_quantum_interface(
interface_type="qpu_connection",
quantum_backend="simulator",
ctx=mock_context
)
assert isinstance(result, dict)
assert "interface_id" in result
assert "interface_type" in result
assert result["interface_type"] == "qpu_connection"
assert "quantum_backend" in result
assert result["quantum_backend"] == "simulator"
@pytest.mark.asyncio
async def test_km_prepare_quantum_interface_all_types(self, mock_context):
"""Test quantum interface preparation with all interface types."""
interface_types = ["qpu_connection", "quantum_network", "hybrid_classical_quantum", "quantum_simulator"]
for interface in interface_types:
result = await km_prepare_quantum_interface(
interface_type=interface,
quantum_backend="simulator",
ctx=mock_context
)
assert isinstance(result, dict)
assert result["interface_type"] == interface
assert "interface_id" in result
@pytest.mark.asyncio
async def test_km_prepare_quantum_interface_backends(self, mock_context):
"""Test quantum interface preparation with different backends."""
backends = ["simulator", "qpu", "cloud", "hybrid"]
for backend in backends:
result = await km_prepare_quantum_interface(
interface_type="qpu_connection",
quantum_backend=backend,
ctx=mock_context
)
assert isinstance(result, dict)
assert result["quantum_backend"] == backend
@pytest.mark.asyncio
async def test_km_manage_quantum_security_basic(self, mock_context):
"""Test basic quantum security management."""
result = await km_manage_quantum_security(
security_action="assess",
policy_level="standard",
ctx=mock_context
)
assert isinstance(result, dict)
assert "security_id" in result
assert "security_action" in result
assert result["security_action"] == "assess"
assert "policy_level" in result
assert result["policy_level"] == "standard"
@pytest.mark.asyncio
async def test_km_manage_quantum_security_all_actions(self, mock_context):
"""Test quantum security management with all security actions."""
security_actions = ["assess", "implement", "monitor", "audit", "update"]
for action in security_actions:
result = await km_manage_quantum_security(
security_action=action,
policy_level="strict",
ctx=mock_context
)
assert isinstance(result, dict)
assert result["security_action"] == action
assert "security_id" in result
@pytest.mark.asyncio
async def test_km_manage_quantum_security_policy_levels(self, mock_context):
"""Test quantum security management with different policy levels."""
policy_levels = ["basic", "standard", "strict", "maximum"]
for level in policy_levels:
result = await km_manage_quantum_security(
security_action="implement",
policy_level=level,
ctx=mock_context
)
assert isinstance(result, dict)
assert result["policy_level"] == level
@pytest.mark.asyncio
async def test_km_simulate_quantum_algorithms_basic(self, mock_context):
"""Test basic quantum algorithm simulation."""
result = await km_simulate_quantum_algorithms(
algorithm_type="grovers",
problem_size=4,
ctx=mock_context
)
assert isinstance(result, dict)
assert "simulation_id" in result
assert "algorithm_type" in result
assert result["algorithm_type"] == "grovers"
assert "problem_size" in result
assert result["problem_size"] == 4
@pytest.mark.asyncio
async def test_km_simulate_quantum_algorithms_all_types(self, mock_context):
"""Test quantum algorithm simulation with all algorithm types."""
algorithm_types = ["grovers", "shors", "vqe", "qaoa", "quantum_fourier_transform"]
for algorithm in algorithm_types:
result = await km_simulate_quantum_algorithms(
algorithm_type=algorithm,
problem_size=8,
ctx=mock_context
)
assert isinstance(result, dict)
assert result["algorithm_type"] == algorithm
assert "simulation_id" in result
@pytest.mark.asyncio
async def test_km_simulate_quantum_algorithms_problem_sizes(self, mock_context):
"""Test quantum algorithm simulation with various problem sizes."""
problem_sizes = [2, 4, 8, 16, 32]
for size in problem_sizes:
result = await km_simulate_quantum_algorithms(
algorithm_type="grovers",
problem_size=size,
ctx=mock_context
)
assert isinstance(result, dict)
assert result["problem_size"] == size
@pytest.mark.asyncio
async def test_km_simulate_quantum_algorithms_with_options(self, mock_context):
"""Test quantum algorithm simulation with various options."""
result = await km_simulate_quantum_algorithms(
algorithm_type="vqe",
problem_size=8,
simulation_backend="statevector",
optimization_level=2,
noise_model=True,
shot_count=1000,
ctx=mock_context
)
assert isinstance(result, dict)
assert result["algorithm_type"] == "vqe"
assert "simulation_backend" in result
assert "optimization_level" in result
assert "noise_model" in result
assert "shot_count" in result
@pytest.mark.asyncio
async def test_mcp_instance_configuration(self):
"""Test that the FastMCP instance is properly configured."""
# Verify the MCP instance exists and has the correct name
assert mcp is not None
assert hasattr(mcp, '_name')
# Verify tools are properly registered
tool_names = ['km_analyze_quantum_readiness', 'km_upgrade_to_post_quantum',
'km_prepare_quantum_interface', 'km_manage_quantum_security',
'km_simulate_quantum_algorithms']
for tool_name in tool_names:
# Verify the tool functions exist
assert tool_name in globals(), f"Tool {tool_name} should be available"
@pytest.mark.asyncio
async def test_error_handling_patterns(self, mock_context):
"""Test error handling patterns across quantum tools."""
# Test with None context (should not crash)
result = await km_analyze_quantum_readiness(
analysis_scope="system",
ctx=None
)
assert isinstance(result, dict)
# Test with malformed parameters
result = await km_upgrade_to_post_quantum(
component_type="", # Empty string
upgrade_scope="invalid",
ctx=mock_context
)
assert isinstance(result, dict)
@pytest.mark.asyncio
async def test_concurrent_tool_execution(self, mock_context):
"""Test concurrent execution of quantum tools."""
# Create multiple concurrent tasks
tasks = [
km_analyze_quantum_readiness("system", ctx=mock_context),
km_upgrade_to_post_quantum("application", "selective", ctx=mock_context),
km_prepare_quantum_interface("qpu_connection", "simulator", ctx=mock_context),
km_manage_quantum_security("assess", "standard", ctx=mock_context),
km_simulate_quantum_algorithms("grovers", 4, ctx=mock_context)
]
# Execute all tasks concurrently
results = await asyncio.gather(*tasks, return_exceptions=True)
# Verify all tasks completed successfully
for result in results:
assert not isinstance(result, Exception)
assert isinstance(result, dict)
@pytest.mark.asyncio
async def test_tool_performance_characteristics(self, mock_context):
"""Test performance characteristics of quantum tools."""
import time
# Test response time for quantum readiness analysis
start_time = time.time()
result = await km_analyze_quantum_readiness(
analysis_scope="system",
ctx=mock_context
)
end_time = time.time()
# Should complete within reasonable time (< 1 second for mock)
assert (end_time - start_time) < 1.0
assert isinstance(result, dict)
# Test response time for simulation
start_time = time.time()
result = await km_simulate_quantum_algorithms(
algorithm_type="grovers",
problem_size=4,
ctx=mock_context
)
end_time = time.time()
# Should complete within reasonable time
assert (end_time - start_time) < 1.0
assert isinstance(result, dict)
class TestMCPToolIntegration:
"""Integration tests for FastMCP tool functionality."""
@pytest.mark.asyncio
async def test_fastmcp_decorator_pattern(self):
"""Test that FastMCP decorator pattern is correctly implemented."""
# This test verifies that our fix for FastMCP.tool() → mcp.tool() is working
# Import the quantum tools module and verify the MCP instance
from src.server.tools import quantum_ready_tools
# Verify MCP instance exists and has correct type
assert hasattr(quantum_ready_tools, 'mcp')
assert quantum_ready_tools.mcp is not None
# Verify the instance is properly configured
mcp_instance = quantum_ready_tools.mcp
assert hasattr(mcp_instance, '_name')
# The tools should be directly callable (they are decorated functions)
tools = [
quantum_ready_tools.km_analyze_quantum_readiness,
quantum_ready_tools.km_upgrade_to_post_quantum,
quantum_ready_tools.km_prepare_quantum_interface,
quantum_ready_tools.km_manage_quantum_security,
quantum_ready_tools.km_simulate_quantum_algorithms
]
for tool in tools:
assert callable(tool)
assert hasattr(tool, '__name__')
@pytest.mark.asyncio
async def test_tool_context_integration(self):
"""Test that tools properly integrate with FastMCP context."""
from src.server.tools.quantum_ready_tools import km_analyze_quantum_readiness
# Create a proper mock context
mock_context = AsyncMock(spec=Context)
mock_context.info = AsyncMock()
mock_context.warn = AsyncMock()
mock_context.error = AsyncMock()
mock_context.report_progress = AsyncMock()
# Execute tool with context
result = await km_analyze_quantum_readiness(
analysis_scope="system",
ctx=mock_context
)
# Verify context methods were called
assert mock_context.info.called
assert isinstance(result, dict)
def test_import_structure(self):
"""Test that all necessary imports are working correctly."""
# These imports should not raise any exceptions
from src.server.tools.quantum_ready_tools import mcp
from src.server.tools.quantum_ready_tools import (
km_analyze_quantum_readiness,
km_upgrade_to_post_quantum,
km_prepare_quantum_interface,
km_manage_quantum_security,
km_simulate_quantum_algorithms
)
# Verify imports are valid
assert mcp is not None
assert km_analyze_quantum_readiness is not None
assert km_upgrade_to_post_quantum is not None
assert km_prepare_quantum_interface is not None
assert km_manage_quantum_security is not None
assert km_simulate_quantum_algorithms is not None
if __name__ == "__main__":
pytest.main([__file__])
