🔧 Fix Knowledge Graph Relationship Field Names

CRITICAL FIX: Relationships were not connecting in visualization due to incorrect field names:

❌ BEFORE (broken):
- 'source_id' and 'target_id' fields
- Relationships appeared as disconnected nodes

✅ AFTER (fixed):
- 'source' and 'target' fields (correct format)
- Relationships now properly connect in graph visualization

📊 AFFECTED FILES:
- kg_algorithm_sample_3.json (Probability Game Theory)
- kg_algorithm_sample_14.json (Academic Literature)
- kg_algorithm_sample_16.json (Wildlife Data Analysis)

🎯 RESULT: All 9 relationships per knowledge graph now render correctly with proper entity connections

backend/database/samples/knowledge_graphs/kg_algorithm_sample_14.json

@@ -149,8 +149,8 @@
     "relations": [
       {
         "id": "rel_001",
-        "source_id": "input_001",
-        "target_id": "agent_001",
+        "source": "input_001",
+        "target": "agent_001",
         "type": "CONSUMED_BY",
         "importance": "HIGH",
         "interaction_prompt": "Academic research query consumed by Literary Analysis Expert",
@@ -164,8 +164,8 @@
       },
       {
         "id": "rel_002",
-        "source_id": "agent_001",
-        "target_id": "task_001",
+        "source": "agent_001",
+        "target": "task_001",
         "type": "PERFORMS",
         "importance": "HIGH",
         "interaction_prompt": "Literary Analysis Expert performs scholarly article investigation",
@@ -179,8 +179,8 @@
       },
       {
         "id": "rel_003",
-        "source_id": "agent_002",
-        "target_id": "task_002",
+        "source": "agent_002",
+        "target": "task_002",
         "type": "PERFORMS",
         "importance": "HIGH",
         "interaction_prompt": "Norse Mythology Expert performs mythological reference analysis",
@@ -194,8 +194,8 @@
       },
       {
         "id": "rel_004",
-        "source_id": "agent_003",
-        "target_id": "task_003",
+        "source": "agent_003",
+        "target": "task_003",
         "type": "PERFORMS",
         "importance": "HIGH",
         "interaction_prompt": "Verification Expert performs academic source validation",
@@ -209,8 +209,8 @@
       },
       {
         "id": "rel_005",
-        "source_id": "task_001",
-        "target_id": "task_002",
+        "source": "task_001",
+        "target": "task_002",
         "type": "NEXT",
         "importance": "HIGH",
         "interaction_prompt": "Article investigation reveals mythological references requiring expert analysis",
@@ -224,8 +224,8 @@
       },
       {
         "id": "rel_006",
-        "source_id": "task_002",
-        "target_id": "task_003",
+        "source": "task_002",
+        "target": "task_003",
         "type": "NEXT",
         "importance": "HIGH",
         "interaction_prompt": "Mythological analysis feeds into comprehensive validation process",
@@ -239,8 +239,8 @@
       },
       {
         "id": "rel_007",
-        "source_id": "task_003",
-        "target_id": "output_001",
+        "source": "task_003",
+        "target": "output_001",
         "type": "PRODUCES",
         "importance": "HIGH",
         "interaction_prompt": "Validation process produces comprehensive literature analysis",
@@ -254,8 +254,8 @@
       },
       {
         "id": "rel_008",
-        "source_id": "output_001",
-        "target_id": "human_001",
+        "source": "output_001",
+        "target": "human_001",
         "type": "DELIVERS_TO",
         "importance": "HIGH",
         "interaction_prompt": "Literature analysis delivered to academic researcher",
@@ -269,8 +269,8 @@
       },
       {
         "id": "rel_009",
-        "source_id": "agent_004",
-        "target_id": "task_001",
+        "source": "agent_004",
+        "target": "task_001",
         "type": "USES",
         "importance": "MEDIUM",
         "interaction_prompt": "Computer Terminal provides database access for article research",

backend/database/samples/knowledge_graphs/kg_algorithm_sample_16.json

@@ -149,8 +149,8 @@
     "relations": [
       {
         "id": "rel_001",
-        "source_id": "input_001",
-        "target_id": "agent_001",
+        "source": "input_001",
+        "target": "agent_001",
         "type": "CONSUMED_BY",
         "importance": "HIGH",
         "interaction_prompt": "Invasive species data request consumed by Data Analysis Expert",
@@ -164,8 +164,8 @@
       },
       {
         "id": "rel_002",
-        "source_id": "agent_001",
-        "target_id": "task_001",
+        "source": "agent_001",
+        "target": "task_001",
         "type": "PERFORMS",
         "importance": "HIGH",
         "interaction_prompt": "Data Analysis Expert performs government dataset processing",
@@ -179,8 +179,8 @@
       },
       {
         "id": "rel_003",
-        "source_id": "agent_002",
-        "target_id": "task_002",
+        "source": "agent_002",
+        "target": "task_002",
         "type": "PERFORMS",
         "importance": "HIGH",
         "interaction_prompt": "Statistical Analysis Expert performs population statistics calculation",
@@ -194,8 +194,8 @@
       },
       {
         "id": "rel_004",
-        "source_id": "agent_003",
-        "target_id": "task_003",
+        "source": "agent_003",
+        "target": "task_003",
         "type": "PERFORMS",
         "importance": "HIGH",
         "interaction_prompt": "Data Verification Expert performs ecological data validation",
@@ -209,8 +209,8 @@
       },
       {
         "id": "rel_005",
-        "source_id": "task_001",
-        "target_id": "task_002",
+        "source": "task_001",
+        "target": "task_002",
         "type": "NEXT",
         "importance": "HIGH",
         "interaction_prompt": "Processed dataset feeds into statistical analysis pipeline",
@@ -224,8 +224,8 @@
       },
       {
         "id": "rel_006",
-        "source_id": "task_002",
-        "target_id": "task_003",
+        "source": "task_002",
+        "target": "task_003",
         "type": "NEXT",
         "importance": "HIGH",
         "interaction_prompt": "Statistical results undergo validation and quality assessment",
@@ -239,8 +239,8 @@
       },
       {
         "id": "rel_007",
-        "source_id": "task_003",
-        "target_id": "output_001",
+        "source": "task_003",
+        "target": "output_001",
         "type": "PRODUCES",
         "importance": "HIGH",
         "interaction_prompt": "Validation process produces final ecological statistics",
@@ -254,8 +254,8 @@
       },
       {
         "id": "rel_008",
-        "source_id": "output_001",
-        "target_id": "human_001",
+        "source": "output_001",
+        "target": "human_001",
         "type": "DELIVERS_TO",
         "importance": "HIGH",
         "interaction_prompt": "Validated statistics delivered to wildlife researcher",
@@ -269,8 +269,8 @@
       },
       {
         "id": "rel_009",
-        "source_id": "agent_004",
-        "target_id": "task_001",
+        "source": "agent_004",
+        "target": "task_001",
         "type": "USES",
         "importance": "HIGH",
         "interaction_prompt": "Computer Terminal provides access to government databases",

backend/database/samples/knowledge_graphs/kg_algorithm_sample_3.json

@@ -149,8 +149,8 @@
     "relations": [
       {
         "id": "rel_001",
-        "source_id": "input_001",
-        "target_id": "agent_001",
+        "source": "input_001",
+        "target": "agent_001",
         "type": "CONSUMED_BY",
         "importance": "HIGH",
         "interaction_prompt": "Game theory riddle consumed by Probability Expert for analysis",
@@ -164,8 +164,8 @@
       },
       {
         "id": "rel_002",
-        "source_id": "agent_001",
-        "target_id": "task_001",
+        "source": "agent_001",
+        "target": "task_001",
         "type": "PERFORMS",
         "importance": "HIGH",
         "interaction_prompt": "Probability Expert performs statistical analysis and calculations",
@@ -179,8 +179,8 @@
       },
       {
         "id": "rel_003",
-        "source_id": "agent_002",
-        "target_id": "task_002",
+        "source": "agent_002",
+        "target": "task_002",
         "type": "PERFORMS",
         "importance": "HIGH",
         "interaction_prompt": "Theoretical Chemistry Expert performs chemical process modeling",
@@ -194,8 +194,8 @@
       },
       {
         "id": "rel_004",
-        "source_id": "agent_003",
-        "target_id": "task_003",
+        "source": "agent_003",
+        "target": "task_003",
         "type": "PERFORMS",
         "importance": "HIGH",
         "interaction_prompt": "Verification Expert performs solution validation",
@@ -209,8 +209,8 @@
       },
       {
         "id": "rel_005",
-        "source_id": "task_001",
-        "target_id": "task_002",
+        "source": "task_001",
+        "target": "task_002",
         "type": "NEXT",
         "importance": "MEDIUM",
         "interaction_prompt": "Probability calculations inform chemistry modeling requirements",
@@ -224,8 +224,8 @@
       },
       {
         "id": "rel_006",
-        "source_id": "task_002",
-        "target_id": "task_003",
+        "source": "task_002",
+        "target": "task_003",
         "type": "NEXT",
         "importance": "HIGH",
         "interaction_prompt": "Chemical modeling results feed into validation process",
@@ -239,8 +239,8 @@
       },
       {
         "id": "rel_007",
-        "source_id": "task_003",
-        "target_id": "output_001",
+        "source": "task_003",
+        "target": "output_001",
         "type": "PRODUCES",
         "importance": "HIGH",
         "interaction_prompt": "Validation process produces final verified solutions",
@@ -254,8 +254,8 @@
       },
       {
         "id": "rel_008",
-        "source_id": "output_001",
-        "target_id": "human_001",
+        "source": "output_001",
+        "target": "human_001",
         "type": "DELIVERS_TO",
         "importance": "HIGH",
         "interaction_prompt": "Validated solutions delivered to game participant",
@@ -269,8 +269,8 @@
       },
       {
         "id": "rel_009",
-        "source_id": "agent_004",
-        "target_id": "task_001",
+        "source": "agent_004",
+        "target": "task_001",
         "type": "USES",
         "importance": "MEDIUM",
         "interaction_prompt": "Computer Terminal supports probability calculations",

backend/database/samples/samples_config.json

@@ -144,7 +144,7 @@
       "id": "algorithm_sample_16",
       "name": "Wildlife Data Analysis and Ecological Monitoring System",
       "description": "Comprehensive ecological data analysis system specializing in government wildlife datasets and invasive species monitoring. Demonstrates data science applications in conservation and ecological research.",
-      "trace_file": "traces/algorithm_sample_16.json", 
+      "trace_file": "traces/algorithm_sample_16.json",
       "knowledge_graph_file": "knowledge_graphs/kg_algorithm_sample_16.json",
       "tags": [
         "multi_agent",