RIPLEY

core/admin.py

@@ -1,3 +1,13 @@
 from django.contrib import admin
+from .models import Source, Entity
 
-# Register your models here.
+@admin.register(Source)
+class SourceAdmin(admin.ModelAdmin):
+    list_display = ('name', 'created_at')
+    search_fields = ('name',)
+
+@admin.register(Entity)
+class EntityAdmin(admin.ModelAdmin):
+    list_display = ('entity_type', 'value', 'source', 'confidence_score', 'created_at')
+    list_filter = ('entity_type', 'source', 'created_at')
+    search_fields = ('value',)

core/migrations/0001_initial.py

@@ -0,0 +1,40 @@
+# Generated by Django 5.2.7 on 2026-03-22 21:58
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    initial = True
+
+    dependencies = [
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Source',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('name', models.CharField(max_length=255, unique=True)),
+                ('description', models.TextField(blank=True)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+            ],
+        ),
+        migrations.CreateModel(
+            name='Entity',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('entity_type', models.CharField(choices=[('PERSON', 'Person'), ('EMAIL', 'Email'), ('USERNAME', 'Username'), ('IP', 'IP Address')], max_length=20)),
+                ('value', models.CharField(db_index=True, max_length=255)),
+                ('confidence_score', models.FloatField(default=1.0)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(auto_now=True)),
+                ('source', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='entities', to='core.source')),
+            ],
+            options={
+                'verbose_name_plural': 'Entities',
+                'unique_together': {('entity_type', 'value', 'source')},
+            },
+        ),
+    ]

core/models.py

@@ -1,3 +1,30 @@
 from django.db import models
 
-# Create your models here.
+class Source(models.Model):
+    name = models.CharField(max_length=255, unique=True)
+    description = models.TextField(blank=True)
+    created_at = models.DateTimeField(auto_now_add=True)
+
+    def __str__(self):
+        return self.name
+
+class Entity(models.Model):
+    ENTITY_TYPES = (
+        ('PERSON', 'Person'),
+        ('EMAIL', 'Email'),
+        ('USERNAME', 'Username'),
+        ('IP', 'IP Address'),
+    )
+    entity_type = models.CharField(max_length=20, choices=ENTITY_TYPES)
+    value = models.CharField(max_length=255, db_index=True)
+    source = models.ForeignKey(Source, on_delete=models.CASCADE, related_name='entities')
+    confidence_score = models.FloatField(default=1.0)
+    created_at = models.DateTimeField(auto_now_add=True)
+    updated_at = models.DateTimeField(auto_now=True)
+
+    class Meta:
+        verbose_name_plural = "Entities"
+        unique_together = ('entity_type', 'value', 'source')
+
+    def __str__(self):
+        return f"{self.entity_type}: {self.value}"

core/services/ingestion.py

@@ -0,0 +1,30 @@
+from django.db import transaction
+from core.models import Source, Entity
+
+class IngestionService:
+    @staticmethod
+    def ingest_data(source_name, entity_type, raw_data):
+        """
+        Aggregates and normalizes raw data into the system.
+        """
+        with transaction.atomic():
+            source, _ = Source.objects.get_or_create(name=source_name)
+            
+            # Simple normalization logic: assume raw_data is a dict
+            # In a real scenario, this would be more complex depending on source schema
+            identifier = raw_data.get('identifier')
+            if not identifier:
+                raise ValueError("Missing identifier in raw_data")
+            
+            entity, created = Entity.objects.get_or_create(
+                identifier=identifier,
+                entity_type=entity_type,
+                defaults={'source': source, 'metadata': raw_data.get('metadata', {})}
+            )
+            
+            if not created:
+                # Update existing entity metadata
+                entity.metadata.update(raw_data.get('metadata', {}))
+                entity.save()
+                
+            return entity

core/services/resolution.py

@@ -0,0 +1,24 @@
+from django.db import transaction
+from core.models import Entity
+
+class EntityResolutionService:
+    @staticmethod
+    def resolve_identity(identifier_a, identifier_b, probability_threshold=0.8):
+        """
+        Determines if two identities belong to the same physical person based on statistical probability.
+        """
+        # Logic for calculating match probability
+        # Placeholder for complex ML/Graph analysis logic
+        match_probability = 0.9 # Mock value
+        
+        if match_probability >= probability_threshold:
+            with transaction.atomic():
+                entity_a = Entity.objects.get(identifier=identifier_a)
+                entity_b = Entity.objects.get(identifier=identifier_b)
+                
+                # Logic to merge entities (e.g., link them)
+                # In a graph db, we would add a relationship.
+                # In Django, we might link via a 'resolved_to' field if existing
+                
+                return True
+        return False