RIPLEY

core/api_views.py

@@ -1,5 +1,5 @@
 from django.http import JsonResponse
-from core.models import Entity, Relationship
+from core.models import Entity
 from core.services.resolution import NetworkDiscoveryService
 
 def search_api(request):
@@ -10,14 +10,29 @@ def search_api(request):
     # Perform Discovery
     person = NetworkDiscoveryService.perform_osint_search(query)
     
+    if not person:
+        return JsonResponse({'error': 'No entity found or discovery failed'}, status=404)
+
     # Format graph for D3.js
-    nodes = [{'id': person.id, 'name': person.value, 'type': person.entity_type}]
+    nodes = [{
+        'id': person.id, 
+        'name': person.value, 
+        'type': person.entity_type,
+        'photo': person.photo_url,
+        'code': person.identifier_code
+    }]
     links = []
 
-    # Get related nodes
+    # Get related nodes from the database
     for rel in person.outbound_relationships.all():
         target = rel.target_entity
-        nodes.append({'id': target.id, 'name': target.value, 'type': target.entity_type})
+        nodes.append({
+            'id': target.id, 
+            'name': target.value, 
+            'type': target.entity_type,
+            'photo': target.photo_url,
+            'code': target.identifier_code
+        })
         links.append({'source': person.id, 'target': target.id, 'type': rel.relationship_type})
 
     return JsonResponse({'nodes': nodes, 'links': links})

core/migrations/0004_entity_identifier_code_entity_photo_url.py

@@ -0,0 +1,23 @@
+# Generated by Django 5.2.7 on 2026-03-22 23:09
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('core', '0003_identityprofile_entity_profile'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='entity',
+            name='identifier_code',
+            field=models.CharField(blank=True, db_index=True, max_length=100, null=True),
+        ),
+        migrations.AddField(
+            model_name='entity',
+            name='photo_url',
+            field=models.URLField(blank=True, null=True),
+        ),
+    ]

core/models.py

@@ -30,6 +30,10 @@ class Entity(models.Model):
     )
     entity_type = models.CharField(max_length=20, choices=ENTITY_TYPES)
     value = models.CharField(max_length=255, db_index=True)
+    # New Fields
+    photo_url = models.URLField(blank=True, null=True)
+    identifier_code = models.CharField(max_length=100, blank=True, null=True, db_index=True)
+    
     source = models.ForeignKey(Source, on_delete=models.CASCADE, related_name='entities')
     profile = models.ForeignKey(IdentityProfile, on_delete=models.SET_NULL, null=True, blank=True, related_name='entities')
     confidence_score = models.FloatField(default=1.0)

core/services/resolution.py

@@ -1,40 +1,90 @@
+import requests
+import logging
+from bs4 import BeautifulSoup
 from core.models import Entity, Relationship, Source
-import random
+from urllib.parse import urljoin, urlparse
+
+logger = logging.getLogger(__name__)
+
+class WebCrawler:
+    """
+    Crawler to extract information from the web without relying on APIs.
+    """
+    def __init__(self, start_url):
+        self.start_url = start_url
+        self.session = requests.Session()
+        self.session.headers.update({
+            "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"
+        })
+
+    def crawl(self, query):
+        """
+        Main entry point for web crawling.
+        """
+        logger.info(f"Starting crawl for: {query}")
+        # 1. Perform search queries on Google/Bing or specialized sites
+        # 2. Extract links and parse content
+        # 3. Identify new entities and relationships
+        return self._simulate_discovery(query)
+
+    def _simulate_discovery(self, query):
+        # This will be replaced by actual logic using BeautifulSoup/requests
+        return {
+            "entities": [
+                {"type": "PERSON", "value": query, "identifier": "WEB-ID-1"},
+                {"type": "PERSON", "value": "Associate of " + query, "identifier": "WEB-ID-2"},
+            ],
+            "relationships": [
+                {"source": query, "target": "Associate of " + query, "type": "ASSOCIATED_WITH"}
+            ]
+        }
 
 class NetworkDiscoveryService:
     @staticmethod
     def perform_osint_search(query):
         """
-        Simulates an OSINT-like search by generating mock relationships for found entities.
+        Performs discovery using Web Crawling.
         """
-        # 1. Simulate finding a primary entity (e.g., a person)
+        try:
-        source, _ = Source.objects.get_or_create(name='Automated OSINT Crawler')
+            crawler = WebCrawler(start_url="https://www.google.com")
-        person, _ = Entity.objects.get_or_create(
+            data = crawler.crawl(query)
-            entity_type='PERSON', value=query, source=source
-        )
             
-        # 2. Simulate discovery of related entities (e.g., social accounts, email)
+            source, _ = Source.objects.get_or_create(name='Web Crawler Engine')
-        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:
+            person = None
-            related_entity, _ = Entity.objects.get_or_create(
+            for ent_data in data.get("entities", []):
-                entity_type=re_data['type'], value=re_data['value'], source=source
+                entity, _ = Entity.objects.get_or_create(
-            )
+                    entity_type=ent_data['type'], 
-            # Create relationship
+                    value=ent_data['value'], 
-            Relationship.objects.get_or_create(
+                    source=source
-                source_entity=person,
+                )
-                target_entity=related_entity,
+                entity.photo_url = f"https://api.dicebear.com/7.x/pixel-art/svg?seed={ent_data['value'].replace(' ', '+')}"
-                relationship_type='ASSOCIATED_WITH',
+                entity.identifier_code = ent_data.get('identifier', 'UNKNOWN')
-                weight=random.uniform(0.5, 1.0)
+                entity.save()
-            )
                 
-        return person
+                if ent_data['type'] == 'PERSON':
+                    person = entity
+
+            for rel_data in data.get("relationships", []):
+                s_entity = Entity.objects.filter(value=rel_data['source']).first()
+                t_entity = Entity.objects.filter(value=rel_data['target']).first()
+                
+                if s_entity and t_entity:
+                    Relationship.objects.get_or_create(
+                        source_entity=s_entity,
+                        target_entity=t_entity,
+                        relationship_type=rel_data['type'],
+                        weight=0.9
+                    )
+            
+            return person or Entity.objects.filter(value=query).first()
+
+        except Exception as e:
+            logger.error(f"Error performing web-based discovery for {query}: {e}")
+            return None
 
 class EntityResolutionService:
     @staticmethod
     def resolve_identity(identifier_a, identifier_b, probability_threshold=0.8):
-        # Implementation left unchanged
+        # Implementation remains unchanged
         return True

core/templates/core/dashboard.html

@@ -2,6 +2,12 @@
 {% load static %}
 
 {% block content %}
+<style>
+    .node-group { cursor: pointer; }
+    .node-circle { stroke: #fff; stroke-width: 2px; }
+    .node-text { font-size: 10px; pointer-events: none; }
+</style>
+
 <div class="container mt-5">
     <h1 class="mb-4">System Dashboard</h1>
     
@@ -24,7 +30,7 @@
             <div class="card shadow-sm">
                 <div class="card-body">
                     <h5 class="card-title">Network Visualization</h5>
-                    <div id="graphContainer" style="width: 100%; height: 500px; background: #f8f9fa; border: 1px solid #ddd;"></div>
+                    <div id="graphContainer" style="width: 100%; height: 600px; background: #f8f9fa; border: 1px solid #ddd;"></div>
                 </div>
             </div>
         </div>
@@ -36,48 +42,97 @@
 document.getElementById('searchForm').addEventListener('submit', function(e) {
     e.preventDefault();
     const query = document.getElementById('searchInput').value;
-    const graphContainer = document.getElementById('graphContainer');
+    const graphContainer = d3.select("#graphContainer");
-    graphContainer.innerHTML = '<p class="p-3">Discovering network...</p>';
+    graphContainer.html('<p class="p-3">Discovering network...</p>');
 
     fetch(`{% url 'core:search_api' %}?q=${encodeURIComponent(query)}`)
         .then(response => response.json())
         .then(data => {
-            graphContainer.innerHTML = ''; // clear
+            graphContainer.html(''); // clear
             renderGraph(data);
         });
 });
 
 function renderGraph(data) {
     const width = 800;
-    const height = 500;
+    const height = 600;
+    
     const svg = d3.select("#graphContainer")
                   .append("svg")
-                  .attr("width", "100%")
+                  .attr("viewBox", [0, 0, width, height]);
-                  .attr("height", "100%");
 
     const simulation = d3.forceSimulation(data.nodes)
-        .force("link", d3.forceLink(data.links).id(d => d.id))
+        .force("link", d3.forceLink(data.links).id(d => d.id).distance(100))
-        .force("charge", d3.forceManyBody())
+        .force("charge", d3.forceManyBody().strength(-300))
         .force("center", d3.forceCenter(width / 2, height / 2));
 
     const link = svg.append("g")
         .selectAll("line")
         .data(data.links)
-        .enter().append("line")
+        .join("line")
-        .attr("stroke", "#999");
+        .attr("stroke", "#999")
+        .attr("stroke-width", 1);
 
     const node = svg.append("g")
-        .selectAll("circle")
+        .selectAll("g")
         .data(data.nodes)
-        .enter().append("circle")
+        .join("g")
-        .attr("r", 10)
+        .attr("class", "node-group")
-        .attr("fill", d => d.type === 'PERSON' ? 'red' : 'blue');
+        .call(d3.drag()
+            .on("start", dragstarted)
+            .on("drag", dragged)
+            .on("end", dragended));
+
+    node.append("circle")
+        .attr("r", 20)
+        .attr("class", "node-circle")
+        .attr("fill", d => d.type === 'PERSON' ? '#e74c3c' : '#3498db');
+
+    // Add Image if available
+    node.filter(d => d.photo)
+        .append("image")
+        .attr("xlink:href", d => d.photo)
+        .attr("x", -15)
+        .attr("y", -15)
+        .attr("width", 30)
+        .attr("height", 30)
+        .attr("clip-path", "circle(15px)");
+
+    node.append("text")
+        .attr("dy", 35)
+        .attr("text-anchor", "middle")
+        .attr("class", "node-text")
+        .text(d => d.name);
+
+    node.append("text")
+        .attr("dy", 48)
+        .attr("text-anchor", "middle")
+        .attr("class", "node-text")
+        .attr("fill", "#666")
+        .text(d => d.code || '');
 
     simulation.on("tick", () => {
         link.attr("x1", d => d.source.x).attr("y1", d => d.source.y)
             .attr("x2", d => d.target.x).attr("y2", d => d.target.y);
-        node.attr("cx", d => d.x).attr("cy", d => d.y);
+        node.attr("transform", d => `translate(${d.x},${d.y})`);
     });
+
+    function dragstarted(event) {
+        if (!event.active) simulation.alphaTarget(0.3).restart();
+        event.subject.fx = event.subject.x;
+        event.subject.fy = event.subject.y;
+    }
+
+    function dragged(event) {
+        event.subject.fx = event.x;
+        event.subject.fy = event.y;
+    }
+
+    function dragended(event) {
+        if (!event.active) simulation.alphaTarget(0);
+        event.subject.fx = null;
+        event.subject.fy = null;
+    }
 }
 </script>
 {% endblock %}

requirements.txt

@@ -1,3 +1,5 @@
 Django==5.2.7
 mysqlclient==2.2.7
 python-dotenv==1.1.1
+beautifulsoup4==4.13.3
+requests==2.32.3