#!/usr/bin/env python3
"""
Example usage of FIS Recommender MCP Server
"""
import json
import subprocess
# Example DevOps Agent finding
devops_agent_finding = {
"id": "finding-12345",
"type": "AVAILABILITY_ISSUE",
"summary": "Network latency spike caused API timeouts",
"description": "Observed 500ms+ latency between app tier and database tier",
"affected_resources": ["i-abc123", "i-def456"],
"timestamp": "2026-01-29T10:00:00Z"
}
# Call MCP server
request = {
"method": "tools/call",
"params": {
"name": "recommend_fis_experiments",
"arguments": {
"finding": devops_agent_finding
}
}
}
# Simulate MCP call
print("DevOps Agent Finding:")
print(json.dumps(devops_agent_finding, indent=2))
print("\n" + "="*60 + "\n")
# In real usage, this would go through MCP protocol
# For demo, we'll call the server directly
proc = subprocess.Popen(
["python3", "server.py"],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True
)
stdout, stderr = proc.communicate(json.dumps(request) + "\n")
print("FIS Experiment Recommendations:")
print(stdout)
# Example: Create FIS template
target_config = {
"resourceType": "aws:ec2:instance",
"selectionMode": "COUNT(2)",
"tags": {"app": "api-service"},
"roleArn": "arn:aws:iam::123456789012:role/FISRole"
}
print("\n" + "="*60 + "\n")
print("Example FIS Template Configuration:")
print(json.dumps(target_config, indent=2))
