tegwick
567f01121e
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Fixed all remaining test failures in test_issue_146_final_integration.py achieving 100% test success rate (9/9 tests passing): - Fixed performance monitoring metrics access patterns - Resolved AssetManager constructor parameter handling - Implemented missing CLI command methods (add_asset, list_assets, get_asset_info) - Added cross-platform symlink creation method aliases - Fixed asset deduplication content uniqueness issues - Resolved production deployment asset removal workflows - Fixed performance benchmark dict/hash type conflicts The asset management system is now production-ready with comprehensive integration test coverage validating all major workflows and edge cases. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
566 lines
22 KiB
Python
566 lines
22 KiB
Python
"""
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Test suite for deployment validation and release readiness.
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Related to Issue #145: Phase 4 - Production Readiness and Release (Week 6)
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Tests comprehensive deployment validation, security auditing, user acceptance testing,
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production readiness verification, and release deployment capabilities.
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"""
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import pytest
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import tempfile
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import shutil
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import subprocess
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import time
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from pathlib import Path
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from unittest.mock import Mock, patch, MagicMock
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from markitect.production.deployment_validator import (
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DeploymentValidator,
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SecurityAuditor,
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UserAcceptanceTester,
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ProductionReadinessChecker,
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ReleaseDeployment,
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QualityAssuranceValidator,
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DeploymentResult
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)
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class TestDeploymentValidator:
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"""Test deployment validation and release readiness capabilities."""
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@pytest.fixture
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def temp_workspace(self):
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"""Create temporary workspace for testing."""
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temp_dir = tempfile.mkdtemp()
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yield Path(temp_dir)
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shutil.rmtree(temp_dir, ignore_errors=True)
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@pytest.fixture
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def deployment_validator(self, temp_workspace):
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"""Create DeploymentValidator instance."""
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return DeploymentValidator(
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workspace_path=temp_workspace,
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environment="production",
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validation_level="comprehensive"
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)
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def test_end_to_end_workflow_testing_all_platforms(self, deployment_validator):
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"""Test end-to-end workflow testing on all platforms."""
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workflow_tester = deployment_validator.get_workflow_tester()
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platforms = ["linux", "windows", "macos"]
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workflows = [
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"asset_ingestion_workflow",
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"asset_discovery_workflow",
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"asset_management_workflow",
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"performance_monitoring_workflow"
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]
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platform_results = {}
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for platform in platforms:
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platform_results[platform] = {}
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for workflow in workflows:
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with patch('platform.system', return_value=platform.capitalize()):
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result = workflow_tester.test_workflow_on_platform(
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workflow_name=workflow,
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platform=platform,
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test_data_size="medium"
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)
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platform_results[platform][workflow] = result
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assert result.workflow_name == workflow
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assert result.platform == platform
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assert result.success_rate >= 0.95 # 95% success rate minimum
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assert result.average_completion_time > 0
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# Analyze cross-platform compatibility
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compatibility_analysis = workflow_tester.analyze_cross_platform_compatibility(platform_results)
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assert compatibility_analysis.consistent_behavior_across_platforms is True
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assert compatibility_analysis.platform_specific_issues == []
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def test_stress_testing_with_maximum_supported_loads(self, deployment_validator):
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"""Test stress testing with maximum supported loads."""
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stress_tester = deployment_validator.get_stress_tester()
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# Define maximum load scenarios
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load_scenarios = [
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{"name": "max_assets", "asset_count": 50000, "concurrent_users": 100},
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{"name": "max_concurrent_ops", "asset_count": 10000, "concurrent_users": 500},
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{"name": "max_file_size", "asset_count": 100, "file_size_mb": 1000},
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{"name": "sustained_load", "asset_count": 20000, "duration_hours": 2}
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]
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stress_results = {}
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for scenario in load_scenarios:
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result = stress_tester.run_stress_test(
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scenario_name=scenario["name"],
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parameters=scenario,
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monitoring_enabled=True
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)
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stress_results[scenario["name"]] = result
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assert result.scenario_name == scenario["name"]
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assert result.system_remained_stable is True
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assert result.memory_leaks_detected is False
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assert result.performance_degradation_percent < 20 # <20% degradation under stress
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# Verify system recovery after stress
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recovery_result = stress_tester.test_system_recovery_after_stress(stress_results)
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assert recovery_result.system_fully_recovered is True
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assert recovery_result.recovery_time_seconds < 300 # <5 minutes recovery
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def test_chaos_testing_with_simulated_failures(self, deployment_validator):
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"""Test chaos testing with simulated failures."""
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chaos_tester = deployment_validator.get_chaos_tester()
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# Define chaos scenarios
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chaos_scenarios = [
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{"type": "network_partition", "duration": 30, "affected_percentage": 50},
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{"type": "disk_failure", "duration": 60, "affected_components": ["storage"]},
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{"type": "memory_pressure", "duration": 45, "memory_limit_mb": 50},
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{"type": "cpu_exhaustion", "duration": 30, "cpu_limit_percent": 95},
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{"type": "process_kill", "duration": 15, "target_processes": ["asset_manager"]}
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]
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chaos_results = {}
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for scenario in chaos_scenarios:
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result = chaos_tester.inject_chaos(
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chaos_type=scenario["type"],
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parameters=scenario,
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recovery_monitoring=True
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)
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chaos_results[scenario["type"]] = result
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assert result.chaos_type == scenario["type"]
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assert result.system_resilience_score >= 0.7 # 70% resilience minimum
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assert result.automatic_recovery_successful is True
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assert result.data_integrity_maintained is True
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# Analyze overall system resilience
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resilience_analysis = chaos_tester.analyze_overall_resilience(chaos_results)
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assert resilience_analysis.resilience_rating >= "GOOD"
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assert resilience_analysis.critical_vulnerabilities == []
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def test_security_testing_including_penetration_testing(self, deployment_validator):
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"""Test security testing including penetration testing."""
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security_auditor = SecurityAuditor()
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# Define security test categories
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security_tests = [
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"input_validation",
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"authentication_bypass",
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"authorization_escalation",
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"data_injection",
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"file_system_access",
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"configuration_exposure"
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]
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security_results = {}
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for test_category in security_tests:
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result = security_auditor.run_security_test(
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test_category=test_category,
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intensity_level="thorough"
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)
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security_results[test_category] = result
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assert result.test_category == test_category
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assert result.vulnerabilities_found is not None
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assert result.security_score >= 0.8 # 80% security score minimum
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# Run penetration testing
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pentest_result = security_auditor.run_penetration_test(
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target_endpoints=["api", "cli", "file_system"],
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test_duration_hours=1
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)
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assert pentest_result.critical_vulnerabilities == []
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assert pentest_result.high_risk_vulnerabilities == []
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assert pentest_result.overall_security_posture >= "STRONG"
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# Generate security audit report
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audit_report = security_auditor.generate_security_audit_report(
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security_results=security_results,
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pentest_result=pentest_result
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)
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assert audit_report.compliance_status == "COMPLIANT"
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assert audit_report.recommendations is not None
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def test_usability_testing_with_target_users(self, deployment_validator):
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"""Test usability testing with target users."""
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usability_tester = UserAcceptanceTester()
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# Define user personas and scenarios
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user_scenarios = [
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{
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"persona": "new_user",
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"tasks": ["installation", "first_asset_ingestion", "basic_discovery"],
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"success_criteria": {"task_completion_rate": 0.9, "time_to_complete": 600}
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},
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{
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"persona": "power_user",
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"tasks": ["bulk_operations", "advanced_configuration", "performance_tuning"],
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"success_criteria": {"task_completion_rate": 0.95, "time_to_complete": 300}
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},
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{
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"persona": "administrator",
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"tasks": ["system_setup", "user_management", "monitoring_configuration"],
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"success_criteria": {"task_completion_rate": 0.98, "time_to_complete": 450}
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}
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]
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usability_results = {}
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for scenario in user_scenarios:
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result = usability_tester.run_user_scenario(
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persona=scenario["persona"],
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tasks=scenario["tasks"],
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success_criteria=scenario["success_criteria"]
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)
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usability_results[scenario["persona"]] = result
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assert result.persona == scenario["persona"]
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assert result.overall_satisfaction_score >= 4.0 # Out of 5
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assert result.task_completion_rate >= scenario["success_criteria"]["task_completion_rate"]
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# Analyze usability patterns
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usability_analysis = usability_tester.analyze_usability_patterns(usability_results)
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assert usability_analysis.user_experience_rating >= "GOOD"
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assert usability_analysis.critical_usability_issues == []
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def test_automated_test_suite_coverage(self, deployment_validator):
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"""Test automated test suite covers all functionality."""
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coverage_analyzer = deployment_validator.get_coverage_analyzer()
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# Analyze test coverage
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coverage_result = coverage_analyzer.analyze_test_coverage(
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test_directories=["tests/", "integration_tests/"],
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source_directories=["markitect/"]
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)
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assert coverage_result.line_coverage_percentage >= 90 # 90% line coverage
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assert coverage_result.branch_coverage_percentage >= 85 # 85% branch coverage
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assert coverage_result.function_coverage_percentage >= 95 # 95% function coverage
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# Check for uncovered critical paths
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critical_paths = coverage_analyzer.identify_uncovered_critical_paths()
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assert len(critical_paths) == 0 # No uncovered critical paths
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# Verify test quality
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test_quality = coverage_analyzer.analyze_test_quality()
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assert test_quality.test_independence_score >= 0.9
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assert test_quality.test_maintainability_score >= 0.8
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def test_performance_regression_testing(self, deployment_validator):
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"""Test performance regression testing."""
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regression_tester = deployment_validator.get_regression_tester()
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# Load baseline performance metrics
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baseline_metrics = {
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"asset_creation_time_ms": 50,
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"asset_search_time_ms": 20,
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"bulk_operation_time_ms": 2000,
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"memory_usage_mb": 100,
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"startup_time_ms": 1000
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}
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regression_tester.set_baseline_metrics(baseline_metrics)
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# Run current performance tests
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current_performance = regression_tester.measure_current_performance()
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# Analyze for regressions
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regression_analysis = regression_tester.analyze_performance_regression(
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baseline=baseline_metrics,
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current=current_performance
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)
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assert regression_analysis.significant_regressions == []
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assert regression_analysis.overall_performance_change_percent > -10 # <10% degradation
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def test_compatibility_testing_across_versions(self, deployment_validator):
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"""Test compatibility testing across versions."""
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compatibility_tester = deployment_validator.get_compatibility_tester()
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# Test backward compatibility
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version_pairs = [
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("1.0.0", "1.1.0"), # Minor version upgrade
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("1.5.0", "2.0.0"), # Major version upgrade
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("2.0.0", "2.1.0") # Minor version upgrade
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]
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compatibility_results = {}
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for old_version, new_version in version_pairs:
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result = compatibility_tester.test_version_compatibility(
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old_version=old_version,
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new_version=new_version,
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test_scenarios=["data_migration", "api_compatibility", "configuration_compatibility"]
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)
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compatibility_results[f"{old_version}->{new_version}"] = result
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assert result.old_version == old_version
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assert result.new_version == new_version
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assert result.compatibility_level in ["FULL", "PARTIAL", "BREAKING"]
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if result.compatibility_level == "BREAKING":
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assert result.migration_path_available is True
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def test_data_migration_testing(self, deployment_validator, temp_workspace):
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"""Test data migration testing."""
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migration_tester = deployment_validator.get_migration_tester()
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# Create test data for migration
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old_data_dir = temp_workspace / "old_format"
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old_data_dir.mkdir()
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# Simulate various data sizes and formats
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data_scenarios = [
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{"size": "small", "asset_count": 100, "total_size_mb": 10},
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{"size": "medium", "asset_count": 5000, "total_size_mb": 500},
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{"size": "large", "asset_count": 20000, "total_size_mb": 2000}
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]
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migration_results = {}
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for scenario in data_scenarios:
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# Create test data
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test_data = migration_tester.create_test_data(
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directory=old_data_dir / scenario["size"],
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asset_count=scenario["asset_count"],
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total_size_mb=scenario["total_size_mb"]
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)
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# Test migration
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migration_result = migration_tester.test_data_migration(
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source_directory=test_data.directory,
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target_format="2.0",
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validation_level="strict"
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)
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migration_results[scenario["size"]] = migration_result
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assert migration_result.success is True
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assert migration_result.data_integrity_maintained is True
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assert migration_result.migration_time_seconds < 3600 # <1 hour
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# Test rollback capability
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rollback_result = migration_tester.test_migration_rollback(migration_results["medium"])
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assert rollback_result.rollback_successful is True
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assert rollback_result.original_data_restored is True
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def test_integration_testing_with_external_systems(self, deployment_validator):
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"""Test integration testing with external systems."""
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integration_tester = deployment_validator.get_integration_tester()
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# Define external system integrations
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external_systems = [
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{"name": "monitoring_system", "type": "prometheus", "endpoints": ["metrics"]},
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{"name": "logging_system", "type": "elasticsearch", "endpoints": ["logs"]},
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{"name": "backup_system", "type": "s3", "endpoints": ["backup", "restore"]},
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{"name": "auth_system", "type": "ldap", "endpoints": ["authenticate", "authorize"]}
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]
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integration_results = {}
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for system in external_systems:
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result = integration_tester.test_external_system_integration(
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system_name=system["name"],
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system_type=system["type"],
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test_endpoints=system["endpoints"]
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)
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integration_results[system["name"]] = result
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assert result.system_name == system["name"]
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assert result.connectivity_established is True
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assert result.authentication_successful is True
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assert result.data_exchange_working is True
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# Test integration resilience
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resilience_result = integration_tester.test_integration_resilience(integration_results)
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assert resilience_result.graceful_degradation is True
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assert resilience_result.automatic_reconnection is True
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def test_beta_testing_with_real_users_and_workflows(self, deployment_validator):
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"""Test beta testing with real users and workflows."""
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beta_tester = UserAcceptanceTester()
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# Define beta testing scenarios
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beta_scenarios = [
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{
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"user_group": "early_adopters",
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"workflow": "content_management",
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"duration_days": 7,
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"success_metrics": {"user_satisfaction": 4.0, "bug_reports": 5}
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},
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{
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"user_group": "enterprise_users",
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"workflow": "large_scale_operations",
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"duration_days": 14,
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"success_metrics": {"user_satisfaction": 4.2, "bug_reports": 3}
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}
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]
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beta_results = {}
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for scenario in beta_scenarios:
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result = beta_tester.run_beta_test(
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user_group=scenario["user_group"],
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workflow=scenario["workflow"],
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duration_days=scenario["duration_days"],
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success_metrics=scenario["success_metrics"]
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)
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beta_results[scenario["user_group"]] = result
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assert result.user_group == scenario["user_group"]
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assert result.user_satisfaction >= scenario["success_metrics"]["user_satisfaction"]
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assert result.critical_bugs_found <= scenario["success_metrics"]["bug_reports"]
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# Analyze beta feedback
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feedback_analysis = beta_tester.analyze_beta_feedback(beta_results)
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assert feedback_analysis.readiness_for_production is True
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assert feedback_analysis.critical_issues == []
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def test_documentation_accuracy_validation(self, deployment_validator):
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"""Test documentation accuracy validation."""
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doc_validator = deployment_validator.get_documentation_validator()
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# Define documentation categories
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doc_categories = [
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"installation_guide",
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"user_manual",
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"api_reference",
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"troubleshooting_guide",
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"configuration_reference"
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]
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doc_validation_results = {}
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for category in doc_categories:
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result = doc_validator.validate_documentation_accuracy(
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category=category,
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validation_method="automated_testing"
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)
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doc_validation_results[category] = result
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assert result.category == category
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assert result.accuracy_score >= 0.95 # 95% accuracy
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assert result.outdated_sections == []
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assert result.missing_information == []
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|
# Test documentation completeness
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completeness_result = doc_validator.validate_documentation_completeness()
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assert completeness_result.coverage_percentage >= 90 # 90% coverage
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assert completeness_result.critical_gaps == []
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def test_installation_procedure_testing(self, deployment_validator):
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"""Test installation procedure testing."""
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installation_tester = deployment_validator.get_installation_tester()
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|
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# Test installation on different environments
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environments = [
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{"os": "ubuntu", "version": "20.04", "python": "3.8"},
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{"os": "centos", "version": "8", "python": "3.9"},
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{"os": "windows", "version": "10", "python": "3.10"},
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{"os": "macos", "version": "12", "python": "3.9"}
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]
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installation_results = {}
|
|
|
|
for env in environments:
|
|
result = installation_tester.test_installation_procedure(
|
|
environment=env,
|
|
installation_method="automated",
|
|
cleanup_after_test=True
|
|
)
|
|
|
|
installation_results[f"{env['os']}-{env['version']}"] = result
|
|
|
|
assert result.installation_successful is True
|
|
assert result.installation_time_minutes < 15 # <15 minutes
|
|
assert result.post_install_validation_passed is True
|
|
|
|
# Test uninstallation
|
|
uninstall_result = installation_tester.test_uninstallation_procedure(
|
|
environment=environments[0]
|
|
)
|
|
|
|
assert uninstall_result.complete_removal is True
|
|
assert uninstall_result.no_leftover_files is True
|
|
|
|
def test_support_process_validation(self, deployment_validator):
|
|
"""Test support process validation."""
|
|
support_validator = deployment_validator.get_support_validator()
|
|
|
|
# Test support documentation
|
|
support_docs_result = support_validator.validate_support_documentation()
|
|
|
|
assert support_docs_result.troubleshooting_guide_complete is True
|
|
assert support_docs_result.faq_comprehensive is True
|
|
assert support_docs_result.contact_information_current is True
|
|
|
|
# Test automated support tools
|
|
support_tools_result = support_validator.test_automated_support_tools()
|
|
|
|
assert support_tools_result.diagnostic_tools_working is True
|
|
assert support_tools_result.log_collection_functional is True
|
|
assert support_tools_result.self_help_tools_accessible is True
|
|
|
|
def test_feature_completeness_verification(self, deployment_validator):
|
|
"""Test feature completeness verification."""
|
|
feature_validator = deployment_validator.get_feature_validator()
|
|
|
|
# Load feature requirements from Issue #145
|
|
required_features = [
|
|
"error_handling_and_recovery",
|
|
"cross_platform_compatibility",
|
|
"performance_benchmarking",
|
|
"production_configuration",
|
|
"deployment_readiness",
|
|
"security_validation",
|
|
"migration_support"
|
|
]
|
|
|
|
feature_results = {}
|
|
|
|
for feature in required_features:
|
|
result = feature_validator.validate_feature_completeness(
|
|
feature_name=feature,
|
|
validation_level="comprehensive"
|
|
)
|
|
|
|
feature_results[feature] = result
|
|
|
|
assert result.feature_name == feature
|
|
assert result.implementation_complete is True
|
|
assert result.testing_complete is True
|
|
assert result.documentation_complete is True
|
|
|
|
# Overall completeness assessment
|
|
completeness_assessment = feature_validator.assess_overall_completeness(feature_results)
|
|
|
|
assert completeness_assessment.all_features_complete is True
|
|
assert completeness_assessment.readiness_score >= 0.95 # 95% readiness |