from core.models import Entity, Relationship, Source
import random

class NetworkDiscoveryService:
    @staticmethod
    def perform_osint_search(query):
        """
        Simulates an OSINT-like search by generating mock relationships for found entities.
        """
        # 1. Simulate finding a primary entity (e.g., a person)
        source, _ = Source.objects.get_or_create(name='Automated OSINT Crawler')
        person, _ = Entity.objects.get_or_create(
            entity_type='PERSON', value=query, source=source
        )

        # 2. Simulate discovery of related entities (e.g., social accounts, email)
        related_entities = [
            {'type': 'EMAIL', 'value': f"{query.lower().replace(' ', '.')}@example.com"},
            {'type': 'USERNAME', 'value': f"{query.lower().replace(' ', '')}_social"},
        ]
        
        for re_data in related_entities:
            related_entity, _ = Entity.objects.get_or_create(
                entity_type=re_data['type'], value=re_data['value'], source=source
            )
            # Create relationship
            Relationship.objects.get_or_create(
                source_entity=person,
                target_entity=related_entity,
                relationship_type='ASSOCIATED_WITH',
                weight=random.uniform(0.5, 1.0)
            )
            
        return person

class EntityResolutionService:
    @staticmethod
    def resolve_identity(identifier_a, identifier_b, probability_threshold=0.8):
        # Implementation left unchanged
        return True