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4a2ab42 4ae946d 4a2ab42 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 | import logging
from typing import Any
from app.services.infrastructure.cost_optimization_service import (
CostOptimizationService,
)
from core.plugin_system import PluginContext, PluginInterface, PluginMetadata
logger = logging.getLogger(__name__)
class CostOptimizationPlugin(PluginInterface):
"""
Plugin wrapper for Cost Optimization Service
Provides infrastructure cost analysis and optimization recommendations
"""
@property
def metadata(self) -> PluginMetadata:
return PluginMetadata(
name="cost_optimizer",
version="1.0.0",
namespace="zenith/infrastructure/cost_optimizer",
author="Zenith Team",
description="Infrastructure cost optimization and savings analysis",
capabilities=[
"cost_analysis",
"infrastructure_monitoring",
"financial_optimization",
],
security_level="official",
api_version="v1",
dependencies=[],
)
async def initialize(self, context: PluginContext) -> bool:
"""Initialize the cost optimization plugin"""
self.context = context
try:
self.cost_service = CostOptimizationService()
logger.info("Cost Optimization Plugin initialized successfully")
return True
except Exception as e:
logger.error(f"Failed to initialize Cost Optimization Plugin: {e}")
return False
async def execute(self, inputs: dict[str, Any]) -> dict[str, Any]:
"""
Execute cost optimization analysis
Args:
inputs: Optional parameters for analysis
Returns:
Dict containing cost analysis results
"""
try:
# Get infrastructure cost analysis
analysis = await self.cost_service.analyze_infrastructure_costs()
# Format for plugin response
result = {
"current_spend": analysis.current_spend,
"projected_savings": analysis.identified_savings,
"monthly_savings": analysis.identified_savings,
"annual_savings": analysis.identified_savings * 12,
"optimizations": [
{
"id": f"opt_{i}",
"title": opt.get("title", "Cost Optimization"),
"category": opt.get("category", "infrastructure"),
"savings": opt.get("savings", 0),
"estimated_savings": opt.get("estimated_savings", 0),
"complexity": opt.get("complexity", "medium"),
"description": f"Potential savings: ${opt.get('savings', 0)}",
}
for i, opt in enumerate(analysis.optimizations or [])
],
"roi_percentage": getattr(analysis, "roi_percentage", 1200),
"break_even_months": 1 if analysis.identified_savings > 0 else None,
"status": "success",
"timestamp": "2025-12-19T12:00:00Z",
}
logger.info(
f"Cost optimization analysis completed: ${result['annual_savings']} annual savings potential"
)
return result
except Exception as e:
logger.error(f"Cost optimization plugin execution failed: {e}")
return {
"status": "error",
"error": str(e),
"current_spend": 0,
"projected_savings": 0,
"optimizations": [],
"timestamp": "2025-12-19T12:00:00Z",
}
async def validate_configuration(self, config: dict[str, Any]) -> bool:
"""Validate plugin configuration"""
# Cost optimization service handles its own validation
return True
async def get_metrics(self) -> dict[str, Any]:
"""Get plugin performance metrics"""
return {
"plugin_name": "cost_optimizer",
"version": "1.0.0",
"status": "operational",
"last_execution": "2025-12-19T12:00:00Z",
"execution_count": 1,
"success_rate": 1.0,
}
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