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import redis
import json
import logging
from datetime import datetime
logger = logging.getLogger(__name__)
class OrchestratorAgent:
def __init__(self, redis_host='localhost', redis_port=6379, agents=None):
self.agents = agents or {}
self.redis = None
if redis_host and redis_port:
try:
self.redis = redis.Redis(host=redis_host, port=int(redis_port), decode_responses=True)
# Test connection
self.redis.ping()
except Exception as e:
logger.warning(f"Redis connection failed (Orchestrator): {e}")
self.redis = None
def create_workflow(self, workflow_name, payload):
workflow_id = f"workflow_{workflow_name}_{datetime.now().timestamp()}"
logger.info(f"Creating workflow {workflow_id}")
# In a real system, you'd decompose this into steps and enqueue them
# For this prototype, we just log it and maybe store state
if self.redis:
try:
self.redis.set(workflow_id, json.dumps({
"name": workflow_name,
"payload": payload,
"status": "created",
"created_at": datetime.now().isoformat()
}))
self.redis.expire(workflow_id, 86400) # 1 day expiry
except Exception as e:
logger.error(f"Failed to save workflow state: {e}")
return workflow_id
def monitor_agent_health(self):
# Check system health
return {
"orchestrator": "healthy",
"redis": "connected" if self.redis else "disconnected"
}
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