Detect Conflicts Dynamically

from ovadare.conflicts.conflict_detector import ConflictDetector

conflict_detector = ConflictDetector()

from autogen.platform import EventStream

# Subscribe to agent activity events
event_stream = EventStream()
conflict_detector.subscribe(event_stream)

detect` method:

`def handle_agent_action(agent_id, action):
    conflicts = conflict_detector.detect(agent_id=agent_id, action=action)
    if conflicts:
        for conflict in conflicts:
            print(f"Conflict detected: {conflict.to_dict()}")
    else:
        print("No conflicts detected.")

from ovadare.conflicts.resolution_engine import ResolutionEngine

resolution_engine = ResolutionEngine()

# Detect and resolve conflicts
conflicts = conflict_detector.detect(agent_id="AgentA", action={"action": "write_data", "resource": "Dataset1"})
if conflicts:
    resolutions = resolution_engine.generate_resolutions(conflicts)
    resolution_engine.apply_resolutions(resolutions)

import logging

logging.basicConfig(level=logging.INFO)

# Attach a logger for monitoring
conflict_detector.set_logger(logging.getLogger("ConflictLogger"))

# Initialize conflict detection
conflict_detector = ConflictDetector()

# Simulate incoming agent actions
actions = [
    {"agent_id": "Agent001", "action": "read_data", "resource": "Document1"},
    {"agent_id": "Agent002", "action": "write_data", "resource": "Document1"}
]

for action in actions:
    conflicts = conflict_detector.detect(agent_id=action["agent_id"], action=action)
    if conflicts:
        print(f"Conflicts detected: {[conflict.to_dict() for conflict in conflicts]}")
    else:
        print("No conflicts detected.")