Monitor Agent Conflicts

from ovadare.conflicts.conflict_detector import ConflictDetector

conflict_detector = ConflictDetector()

# Example agent action
conflicts = conflict_detector.detect(
    agent_id="Agent001",
    action={"action": "access_data", "resource": "SensitiveDoc"}
)

if conflicts:
    print(f"Conflicts detected: {[conflict.to_dict() for conflict in conflicts]}")

conflict_log = conflict_detector.get_all_conflicts()

for conflict in conflict_log:
    print(f"Logged Conflict: {conflict.to_dict()}")

import matplotlib.pyplot as plt

conflict_count = len(conflict_log)
labels = [conflict.related_agent_id for conflict in conflict_log]
values = [1 for _ in conflict_log]

plt.bar(labels, values)
plt.title("Conflict Frequency by Agent")
plt.xlabel("Agents")
plt.ylabel("Conflicts")
plt.show()

from collections import Counter

agent_conflict_count = Counter(conflict.related_agent_id for conflict in conflict_log)

print("Conflict frequency by agent:", agent_conflict_count)

conflict = conflict_detector.get_conflict_by_id("Conflict001")

if conflict:
    print(f"Details of Conflict: {conflict.to_dict()}")
else:
    print("No conflict found with the given ID.")

conflicts = conflict_detector.detect(
    agent_id="ResearchAgent",
    action={"action": "write_data", "resource": "SharedReport"}
)

if conflicts:
    for conflict in conflicts:
        print(f"Conflict detected: {conflict.to_dict()}")