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404 lines
13 KiB
Python
404 lines
13 KiB
Python
"""
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Test for production deployment and scaling system
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"""
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import asyncio
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import pytest
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from datetime import datetime, timedelta
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from pathlib import Path
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from aitbc_cli.core.deployment import (
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ProductionDeployment, DeploymentConfig, DeploymentMetrics,
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ScalingEvent, ScalingPolicy, DeploymentStatus
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)
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def test_deployment_creation():
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"""Test deployment system creation"""
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deployment = ProductionDeployment("/tmp/test_aitbc")
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assert deployment.config_path == Path("/tmp/test_aitbc")
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assert deployment.deployments == {}
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assert deployment.metrics == {}
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assert deployment.scaling_events == []
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assert deployment.health_checks == {}
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# Check directories were created
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assert deployment.deployment_dir.exists()
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assert deployment.config_dir.exists()
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assert deployment.logs_dir.exists()
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assert deployment.backups_dir.exists()
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async def test_create_deployment_config():
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"""Test deployment configuration creation"""
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deployment = ProductionDeployment("/tmp/test_aitbc")
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# Create deployment
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deployment_id = await deployment.create_deployment(
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name="test-deployment",
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environment="production",
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region="us-west-1",
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instance_type="t3.medium",
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min_instances=1,
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max_instances=10,
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desired_instances=2,
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port=8080,
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domain="test.aitbc.dev",
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database_config={"host": "localhost", "port": 5432, "name": "aitbc"}
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)
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assert deployment_id is not None
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assert deployment_id in deployment.deployments
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config = deployment.deployments[deployment_id]
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assert config.name == "test-deployment"
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assert config.environment == "production"
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assert config.min_instances == 1
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assert config.max_instances == 10
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assert config.desired_instances == 2
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assert config.scaling_policy == ScalingPolicy.AUTO
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assert config.port == 8080
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assert config.domain == "test.aitbc.dev"
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async def test_deployment_application():
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"""Test application deployment"""
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deployment = ProductionDeployment("/tmp/test_aitbc")
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# Create deployment first
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deployment_id = await deployment.create_deployment(
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name="test-app",
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environment="staging",
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region="us-east-1",
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instance_type="t3.small",
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min_instances=1,
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max_instances=5,
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desired_instances=2,
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port=3000,
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domain="staging.aitbc.dev",
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database_config={"host": "localhost", "port": 5432, "name": "aitbc_staging"}
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)
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# Mock the infrastructure deployment (skip actual system calls)
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original_deploy_infra = deployment._deploy_infrastructure
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async def mock_deploy_infra(dep_config):
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print(f"Mock infrastructure deployment for {dep_config.name}")
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return True
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deployment._deploy_infrastructure = mock_deploy_infra
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# Deploy application
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success = await deployment.deploy_application(deployment_id)
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assert success
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assert deployment_id in deployment.health_checks
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assert deployment.health_checks[deployment_id] == True
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assert deployment_id in deployment.metrics
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# Restore original method
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deployment._deploy_infrastructure = original_deploy_infra
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async def test_manual_scaling():
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"""Test manual scaling"""
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deployment = ProductionDeployment("/tmp/test_aitbc")
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# Create deployment
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deployment_id = await deployment.create_deployment(
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name="scale-test",
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environment="production",
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region="us-west-2",
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instance_type="t3.medium",
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min_instances=1,
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max_instances=10,
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desired_instances=2,
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port=8080,
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domain="scale.aitbc.dev",
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database_config={"host": "localhost", "port": 5432, "name": "aitbc"}
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)
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# Mock infrastructure deployment
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original_deploy_infra = deployment._deploy_infrastructure
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async def mock_deploy_infra(dep_config):
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return True
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deployment._deploy_infrastructure = mock_deploy_infra
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# Deploy first
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await deployment.deploy_application(deployment_id)
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# Scale up
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success = await deployment.scale_deployment(deployment_id, 5, "manual scaling test")
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assert success
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# Check deployment was updated
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config = deployment.deployments[deployment_id]
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assert config.desired_instances == 5
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# Check scaling event was created
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scaling_events = [e for e in deployment.scaling_events if e.deployment_id == deployment_id]
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assert len(scaling_events) > 0
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latest_event = scaling_events[-1]
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assert latest_event.old_instances == 2
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assert latest_event.new_instances == 5
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assert latest_event.success == True
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assert latest_event.trigger_reason == "manual scaling test"
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# Restore original method
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deployment._deploy_infrastructure = original_deploy_infra
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async def test_auto_scaling():
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"""Test automatic scaling"""
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deployment = ProductionDeployment("/tmp/test_aitbc")
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# Create deployment
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deployment_id = await deployment.create_deployment(
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name="auto-scale-test",
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environment="production",
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region="us-east-1",
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instance_type="t3.medium",
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min_instances=1,
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max_instances=10,
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desired_instances=2,
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port=8080,
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domain="autoscale.aitbc.dev",
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database_config={"host": "localhost", "port": 5432, "name": "aitbc"}
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)
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# Mock infrastructure deployment
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original_deploy_infra = deployment._deploy_infrastructure
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async def mock_deploy_infra(dep_config):
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return True
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deployment._deploy_infrastructure = mock_deploy_infra
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# Deploy first
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await deployment.deploy_application(deployment_id)
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# Set metrics to trigger scale up (high CPU)
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metrics = deployment.metrics[deployment_id]
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metrics.cpu_usage = 85.0 # Above threshold
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metrics.memory_usage = 40.0
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metrics.error_rate = 1.0
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metrics.response_time = 500.0
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# Trigger auto-scaling
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success = await deployment.auto_scale_deployment(deployment_id)
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assert success
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# Check deployment was scaled up
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config = deployment.deployments[deployment_id]
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assert config.desired_instances == 3 # Should have scaled up by 1
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# Set metrics to trigger scale down
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metrics.cpu_usage = 15.0 # Below threshold
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metrics.memory_usage = 25.0
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# Trigger auto-scaling again
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success = await deployment.auto_scale_deployment(deployment_id)
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assert success
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# Check deployment was scaled down
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config = deployment.deployments[deployment_id]
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assert config.desired_instances == 2 # Should have scaled down by 1
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# Restore original method
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deployment._deploy_infrastructure = original_deploy_infra
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async def test_deployment_status():
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"""Test deployment status retrieval"""
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deployment = ProductionDeployment("/tmp/test_aitbc")
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# Create and deploy
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deployment_id = await deployment.create_deployment(
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name="status-test",
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environment="production",
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region="us-west-1",
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instance_type="t3.medium",
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min_instances=1,
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max_instances=5,
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desired_instances=2,
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port=8080,
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domain="status.aitbc.dev",
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database_config={"host": "localhost", "port": 5432, "name": "aitbc"}
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)
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# Mock infrastructure deployment
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original_deploy_infra = deployment._deploy_infrastructure
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async def mock_deploy_infra(dep_config):
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return True
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deployment._deploy_infrastructure = mock_deploy_infra
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await deployment.deploy_application(deployment_id)
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# Get status
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status = await deployment.get_deployment_status(deployment_id)
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assert status is not None
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assert "deployment" in status
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assert "metrics" in status
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assert "health_status" in status
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assert "recent_scaling_events" in status
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assert "uptime_percentage" in status
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# Check deployment info
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deployment_info = status["deployment"]
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assert deployment_info["name"] == "status-test"
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assert deployment_info["environment"] == "production"
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assert deployment_info["desired_instances"] == 2
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# Check health status
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assert status["health_status"] == True
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# Check metrics
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metrics = status["metrics"]
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assert metrics["deployment_id"] == deployment_id
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assert metrics["cpu_usage"] >= 0
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assert metrics["memory_usage"] >= 0
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# Restore original method
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deployment._deploy_infrastructure = original_deploy_infra
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async def test_cluster_overview():
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"""Test cluster overview"""
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deployment = ProductionDeployment("/tmp/test_aitbc")
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# Mock infrastructure deployment
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original_deploy_infra = deployment._deploy_infrastructure
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async def mock_deploy_infra(dep_config):
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return True
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deployment._deploy_infrastructure = mock_deploy_infra
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# Create multiple deployments
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deployment_ids = []
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for i in range(3):
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deployment_id = await deployment.create_deployment(
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name=f"cluster-test-{i+1}",
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environment="production" if i % 2 == 0 else "staging",
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region="us-west-1",
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instance_type="t3.medium",
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min_instances=1,
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max_instances=5,
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desired_instances=2,
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port=8080 + i,
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domain=f"test{i+1}.aitbc.dev",
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database_config={"host": "localhost", "port": 5432, "name": f"aitbc_{i+1}"}
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)
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await deployment.deploy_application(deployment_id)
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deployment_ids.append(deployment_id)
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# Get cluster overview
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overview = await deployment.get_cluster_overview()
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assert overview is not None
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assert "total_deployments" in overview
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assert "running_deployments" in overview
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assert "total_instances" in overview
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assert "aggregate_metrics" in overview
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assert "recent_scaling_events" in overview
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assert "successful_scaling_rate" in overview
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assert "health_check_coverage" in overview
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# Check overview data
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assert overview["total_deployments"] == 3
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assert overview["running_deployments"] == 3
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assert overview["total_instances"] == 6 # 2 instances per deployment
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assert overview["health_check_coverage"] == 1.0 # 100% coverage
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# Restore original method
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deployment._deploy_infrastructure = original_deploy_infra
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def test_scaling_thresholds():
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"""Test scaling threshold configuration"""
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deployment = ProductionDeployment("/tmp/test_aitbc")
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# Check default thresholds
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assert deployment.scaling_thresholds['cpu_high'] == 80.0
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assert deployment.scaling_thresholds['cpu_low'] == 20.0
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assert deployment.scaling_thresholds['memory_high'] == 85.0
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assert deployment.scaling_thresholds['memory_low'] == 30.0
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assert deployment.scaling_thresholds['error_rate_high'] == 5.0
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assert deployment.scaling_thresholds['response_time_high'] == 2000.0
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assert deployment.scaling_thresholds['min_uptime'] == 99.0
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async def test_deployment_config_validation():
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"""Test deployment configuration validation"""
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deployment = ProductionDeployment("/tmp/test_aitbc")
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# Test valid configuration
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deployment_id = await deployment.create_deployment(
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name="valid-config",
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environment="production",
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region="us-west-1",
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instance_type="t3.medium",
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min_instances=1,
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max_instances=10,
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desired_instances=5,
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port=8080,
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domain="valid.aitbc.dev",
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database_config={"host": "localhost", "port": 5432, "name": "aitbc"}
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)
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assert deployment_id is not None
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config = deployment.deployments[deployment_id]
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assert config.min_instances <= config.desired_instances <= config.max_instances
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async def test_metrics_initialization():
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"""Test metrics initialization"""
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deployment = ProductionDeployment("/tmp/test_aitbc")
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# Create deployment
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deployment_id = await deployment.create_deployment(
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name="metrics-test",
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environment="production",
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region="us-west-1",
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instance_type="t3.medium",
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min_instances=1,
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max_instances=5,
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desired_instances=2,
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port=8080,
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domain="metrics.aitbc.dev",
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database_config={"host": "localhost", "port": 5432, "name": "aitbc"}
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)
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# Mock infrastructure deployment
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original_deploy_infra = deployment._deploy_infrastructure
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async def mock_deploy_infra(dep_config):
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return True
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deployment._deploy_infrastructure = mock_deploy_infra
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# Deploy to initialize metrics
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await deployment.deploy_application(deployment_id)
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# Check metrics were initialized
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metrics = deployment.metrics[deployment_id]
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assert metrics.deployment_id == deployment_id
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assert metrics.cpu_usage >= 0
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assert metrics.memory_usage >= 0
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assert metrics.disk_usage >= 0
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assert metrics.request_count >= 0
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assert metrics.error_rate >= 0
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assert metrics.response_time >= 0
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assert metrics.uptime_percentage >= 0
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assert metrics.active_instances >= 1
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# Restore original method
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deployment._deploy_infrastructure = original_deploy_infra
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if __name__ == "__main__":
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# Run basic tests
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test_deployment_creation()
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test_scaling_thresholds()
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# Run async tests
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asyncio.run(test_create_deployment_config())
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asyncio.run(test_deployment_application())
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asyncio.run(test_manual_scaling())
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asyncio.run(test_auto_scaling())
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asyncio.run(test_deployment_status())
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asyncio.run(test_cluster_overview())
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asyncio.run(test_deployment_config_validation())
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asyncio.run(test_metrics_initialization())
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print("✅ All deployment tests passed!")
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