RIPLEY
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@ -16,6 +16,37 @@ class WebCrawler:
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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 fetch_url(self, url):
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"""
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Fetch URL and extract basic metadata and image links.
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"""
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try:
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response = self.session.get(url, timeout=10)
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response.raise_for_status()
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soup = BeautifulSoup(response.text, "html.parser")
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# Extract meta tags
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metadata = {
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"title": soup.title.string if soup.title else "No title",
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"description": soup.find("meta", attrs={"name": "description"}),
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}
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if metadata["description"]:
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metadata["description"] = metadata["description"].get("content", "")
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else:
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metadata["description"] = ""
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# Extract images (top 3)
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images = []
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for img in soup.find_all("img", limit=3):
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src = img.get("src")
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if src:
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images.append(urljoin(url, src))
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return metadata, images
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except Exception as e:
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logger.error(f"Failed to crawl {url}: {e}")
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return None, []
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def search(self, query):
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"""
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Perform a simulated search on Google using requests.
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@ -28,16 +59,18 @@ class WebCrawler:
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response.raise_for_status()
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soup = BeautifulSoup(response.text, "html.parser")
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# Simple extraction of titles/links from Google search results
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results = []
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# Selector for Google search result titles
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for g in soup.select("div.g"):
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title_elem = g.select_one("h3")
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link_elem = g.select_one("a")
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if title_elem and link_elem:
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url = link_elem.get("href")
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# Handle Google's link redirecting
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if url.startswith("/url?q="):
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url = url.split("/url?q=")[1].split("&")[0]
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results.append({
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"title": title_elem.get_text(),
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"url": link_elem.get("href")
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"url": url
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})
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return results
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except Exception as e:
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@ -48,7 +81,7 @@ 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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Performs discovery using Web Crawling, extracting metadata and images.
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"""
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try:
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crawler = WebCrawler()
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@ -62,13 +95,22 @@ class NetworkDiscoveryService:
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value=query,
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source=source
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)
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# Default photo fallback
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person.photo_url = f"https://api.dicebear.com/7.x/pixel-art/svg?seed={query.replace(' ', '+')}"
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person.save()
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# 2. Extract potential associates from titles
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# 2. Extract potential associates and crawl their pages
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for res in search_results:
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# Naive associate detection
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associate_val = res['title'][:50]
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metadata, images = crawler.fetch_url(res['url'])
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# If we found an image on their page, prioritize that for the main person if it's the first result
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if images and not person.photo_url.startswith("https://api.dicebear.com"):
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person.photo_url = images[0]
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elif images and person.photo_url.startswith("https://api.dicebear.com"):
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# For demo purposes, set photo from the first relevant page
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person.photo_url = images[0]
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# Create associate
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associate_val = metadata['title'] if metadata and metadata['title'] != "No title" else res['title'][:50]
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if associate_val != query:
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associate, _ = Entity.objects.get_or_create(
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entity_type='PERSON',
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@ -76,6 +118,8 @@ class NetworkDiscoveryService:
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source=source
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)
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# Store link/metadata info if you have a field for it
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# 3. Create relationship
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Relationship.objects.get_or_create(
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source_entity=person,
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@ -84,6 +128,7 @@ class NetworkDiscoveryService:
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weight=0.5
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)
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person.save()
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return person
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except Exception as e:
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