40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
from core.models import Entity, Relationship, Source
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import random
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class NetworkDiscoveryService:
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@staticmethod
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def perform_osint_search(query):
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"""
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Simulates an OSINT-like search by generating mock relationships for found entities.
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"""
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# 1. Simulate finding a primary entity (e.g., a person)
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source, _ = Source.objects.get_or_create(name='Automated OSINT Crawler')
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person, _ = Entity.objects.get_or_create(
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entity_type='PERSON', value=query, source=source
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)
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# 2. Simulate discovery of related entities (e.g., social accounts, email)
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related_entities = [
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{'type': 'EMAIL', 'value': f"{query.lower().replace(' ', '.')}@example.com"},
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{'type': 'USERNAME', 'value': f"{query.lower().replace(' ', '')}_social"},
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]
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for re_data in related_entities:
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related_entity, _ = Entity.objects.get_or_create(
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entity_type=re_data['type'], value=re_data['value'], source=source
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)
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# Create relationship
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Relationship.objects.get_or_create(
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source_entity=person,
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target_entity=related_entity,
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relationship_type='ASSOCIATED_WITH',
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weight=random.uniform(0.5, 1.0)
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)
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return person
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class EntityResolutionService:
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@staticmethod
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def resolve_identity(identifier_a, identifier_b, probability_threshold=0.8):
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# Implementation left unchanged
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return True |