91 lines
3.4 KiB
Python
91 lines
3.4 KiB
Python
import requests
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import logging
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from bs4 import BeautifulSoup
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from core.models import Entity, Relationship, Source
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from urllib.parse import urljoin, urlparse
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logger = logging.getLogger(__name__)
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class WebCrawler:
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"""
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Crawler to extract information from the web without relying on APIs.
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"""
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def __init__(self, start_url):
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self.start_url = start_url
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self.session = requests.Session()
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self.session.headers.update({
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36"
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})
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def crawl(self, query):
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"""
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Main entry point for web crawling.
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"""
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logger.info(f"Starting crawl for: {query}")
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# 1. Perform search queries on Google/Bing or specialized sites
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# 2. Extract links and parse content
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# 3. Identify new entities and relationships
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return self._simulate_discovery(query)
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def _simulate_discovery(self, query):
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# This will be replaced by actual logic using BeautifulSoup/requests
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return {
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"entities": [
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{"type": "PERSON", "value": query, "identifier": "WEB-ID-1"},
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{"type": "PERSON", "value": "Associate of " + query, "identifier": "WEB-ID-2"},
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],
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"relationships": [
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{"source": query, "target": "Associate of " + query, "type": "ASSOCIATED_WITH"}
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]
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}
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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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Performs discovery using Web Crawling.
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"""
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try:
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crawler = WebCrawler(start_url="https://www.google.com")
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data = crawler.crawl(query)
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source, _ = Source.objects.get_or_create(name='Web Crawler Engine')
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person = None
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for ent_data in data.get("entities", []):
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entity, _ = Entity.objects.get_or_create(
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entity_type=ent_data['type'],
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value=ent_data['value'],
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source=source
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)
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entity.photo_url = f"https://api.dicebear.com/7.x/pixel-art/svg?seed={ent_data['value'].replace(' ', '+')}"
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entity.identifier_code = ent_data.get('identifier', 'UNKNOWN')
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entity.save()
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if ent_data['type'] == 'PERSON':
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person = entity
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for rel_data in data.get("relationships", []):
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s_entity = Entity.objects.filter(value=rel_data['source']).first()
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t_entity = Entity.objects.filter(value=rel_data['target']).first()
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if s_entity and t_entity:
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Relationship.objects.get_or_create(
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source_entity=s_entity,
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target_entity=t_entity,
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relationship_type=rel_data['type'],
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weight=0.9
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)
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return person or Entity.objects.filter(value=query).first()
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except Exception as e:
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logger.error(f"Error performing web-based discovery for {query}: {e}")
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return None
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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 remains unchanged
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return True
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