🧹 Clean up demo data and rebuild frontend

- Remove window_replay_demo sample and associated KG files
- Clean up samples_config.json structure
- Rebuild frontend with latest changes
- Prepare for production deployment

backend/database/samples/knowledge_graphs/kg_algorithm_sample_1_final.json

@@ -1,402 +0,0 @@
-{
-  "filename": "kg_algorithm_sample_1_final",
-  "trace_index": 0,
-  "graph_data": {
-    "system_name": "Location-Based Restaurant Discovery System",
-    "system_summary": "This sophisticated system helps users find nearby restaurants based on complex criteria including location proximity, operating hours, and day-specific availability. The process begins with a location-based query from the `User Restaurant Query` (input_001), which is processed by the `Location-Based Services Expert` (agent_001) who performs the `Geographic Proximity Analysis` (task_001). The `Eateries Expert` (agent_002) handles `Restaurant Data Collection` (task_002), while the `Data Verification Expert` (agent_003) performs `Operating Hours Validation` (task_003). The `Computer Terminal` (agent_004) provides computational support throughout the workflow. The system produces comprehensive `Restaurant Recommendations` (output_001) that are delivered to the `End User` (human_001).",
-    "entities": [
-      {
-        "id": "agent_001",
-        "type": "Agent",
-        "name": "Location-Based Services Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Specialized in geographic information systems, spatial analysis, and location-based queries. Handles mapping services, distance calculations, and proximity analysis.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 15,
-            "line_end": 25,
-            "confidence": 0.95
-          }
-        ]
-      },
-      {
-        "id": "agent_002",
-        "type": "Agent",
-        "name": "Eateries Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Expert in restaurant data, food service information, and dining establishment databases. Collects and analyzes restaurant information including cuisine types, ratings, and amenities.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 35,
-            "line_end": 45,
-            "confidence": 0.92
-          }
-        ]
-      },
-      {
-        "id": "agent_003",
-        "type": "Agent",
-        "name": "Data Verification Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Responsible for validating data accuracy, cross-referencing information sources, and ensuring data quality. Specializes in verification of business hours, contact information, and operational status.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 55,
-            "line_end": 65,
-            "confidence": 0.88
-          }
-        ]
-      },
-      {
-        "id": "agent_004",
-        "type": "Tool",
-        "name": "Computer Terminal",
-        "importance": "MEDIUM",
-        "raw_prompt": "Code execution environment and computational terminal for running calculations, scripts, and data processing tasks. Provides computational support to other agents when code execution is required.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 75,
-            "line_end": 80,
-            "confidence": 0.85
-          }
-        ]
-      },
-      {
-        "id": "task_001",
-        "type": "Task",
-        "name": "Geographic Proximity Analysis",
-        "importance": "HIGH",
-        "raw_prompt": "Analyze geographic proximity between Harkness Memorial State Park and nearby restaurants. Calculate distances and identify closest establishments.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 5,
-            "line_end": 10,
-            "confidence": 0.98
-          }
-        ]
-      },
-      {
-        "id": "task_002",
-        "type": "Task",
-        "name": "Restaurant Data Collection",
-        "importance": "HIGH",
-        "raw_prompt": "Collect comprehensive restaurant data including operating hours, contact information, cuisine types, and availability information for Wednesday evenings.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 25,
-            "line_end": 35,
-            "confidence": 0.94
-          }
-        ]
-      },
-      {
-        "id": "task_003",
-        "type": "Task",
-        "name": "Operating Hours Validation",
-        "importance": "HIGH",
-        "raw_prompt": "Verify restaurant operating hours for Wednesday nights, specifically checking 11pm availability and cross-referencing multiple data sources.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 45,
-            "line_end": 55,
-            "confidence": 0.91
-          }
-        ]
-      },
-      {
-        "id": "input_001",
-        "type": "Input",
-        "name": "User Restaurant Query",
-        "importance": "HIGH",
-        "raw_prompt": "User request for closest eatery to Harkness Memorial State Park open at 11pm on Wednesdays",
-        "raw_prompt_ref": [
-          {
-            "line_start": 1,
-            "line_end": 3,
-            "confidence": 0.99
-          }
-        ]
-      },
-      {
-        "id": "output_001",
-        "type": "Output",
-        "name": "Restaurant Recommendations",
-        "importance": "HIGH",
-        "raw_prompt": "Comprehensive restaurant recommendations with verified operating hours and proximity information",
-        "raw_prompt_ref": [
-          {
-            "line_start": 90,
-            "line_end": 95,
-            "confidence": 0.93
-          }
-        ]
-      },
-      {
-        "id": "human_001",
-        "type": "Human",
-        "name": "End User",
-        "importance": "HIGH",
-        "raw_prompt": "User seeking restaurant recommendations near a specific location with time constraints",
-        "raw_prompt_ref": [
-          {
-            "line_start": 1,
-            "line_end": 1,
-            "confidence": 0.95
-          }
-        ]
-      }
-    ],
-    "relations": [
-      {
-        "id": "rel_001",
-        "source": "input_001",
-        "target": "agent_001",
-        "type": "CONSUMED_BY",
-        "importance": "HIGH",
-        "interaction_prompt": "Location-based query consumed by Location-Based Services Expert",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 5,
-            "line_end": 8,
-            "confidence": 0.95
-          }
-        ]
-      },
-      {
-        "id": "rel_002",
-        "source": "agent_001",
-        "target": "task_001",
-        "type": "PERFORMS",
-        "importance": "HIGH",
-        "interaction_prompt": "Location-Based Services Expert performs geographic proximity analysis",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 15,
-            "line_end": 25,
-            "confidence": 0.92
-          }
-        ]
-      },
-      {
-        "id": "rel_003",
-        "source": "agent_002",
-        "target": "task_002",
-        "type": "PERFORMS",
-        "importance": "HIGH",
-        "interaction_prompt": "Eateries Expert performs restaurant data collection",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 35,
-            "line_end": 45,
-            "confidence": 0.89
-          }
-        ]
-      },
-      {
-        "id": "rel_004",
-        "source": "agent_003",
-        "target": "task_003",
-        "type": "PERFORMS",
-        "importance": "HIGH",
-        "interaction_prompt": "Data Verification Expert performs operating hours validation",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 55,
-            "line_end": 65,
-            "confidence": 0.87
-          }
-        ]
-      },
-      {
-        "id": "rel_005",
-        "source": "task_001",
-        "target": "task_002",
-        "type": "NEXT",
-        "importance": "HIGH",
-        "interaction_prompt": "Geographic analysis leads to restaurant data collection",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 25,
-            "line_end": 30,
-            "confidence": 0.88
-          }
-        ]
-      },
-      {
-        "id": "rel_006",
-        "source": "task_002",
-        "target": "task_003",
-        "type": "NEXT",
-        "importance": "HIGH",
-        "interaction_prompt": "Restaurant data collection followed by operating hours validation",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 45,
-            "line_end": 50,
-            "confidence": 0.85
-          }
-        ]
-      },
-      {
-        "id": "rel_007",
-        "source": "task_003",
-        "target": "output_001",
-        "type": "PRODUCES",
-        "importance": "HIGH",
-        "interaction_prompt": "Validation task produces final restaurant recommendations",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 90,
-            "line_end": 95,
-            "confidence": 0.92
-          }
-        ]
-      },
-      {
-        "id": "rel_008",
-        "source": "output_001",
-        "target": "human_001",
-        "type": "DELIVERS_TO",
-        "importance": "HIGH",
-        "interaction_prompt": "Restaurant recommendations delivered to end user",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 95,
-            "line_end": 100,
-            "confidence": 0.93
-          }
-        ]
-      },
-      {
-        "id": "rel_009",
-        "source": "agent_004",
-        "target": "task_001",
-        "type": "REQUIRED_BY",
-        "importance": "MEDIUM",
-        "interaction_prompt": "Computational task requires Computer Terminal for execution",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 20,
-            "line_end": 25,
-            "confidence": 0.8
-          }
-        ]
-      },
-      {
-        "id": "rel_uses_computer",
-        "source": "agent_001",
-        "target": "agent_004",
-        "type": "USES",
-        "importance": "MEDIUM",
-        "interaction_prompt": "Agent uses Computer Terminal for computational tasks",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 50,
-            "line_end": 55,
-            "confidence": 0.8
-          }
-        ]
-      }
-    ],
-    "failures": [
-      {
-        "id": "failure_001",
-        "description": "Data Verification Expert failed to properly validate restaurant operating hours due to incorrect Python code implementation, leading to inaccurate 11pm availability data",
-        "raw_text": "",
-        "raw_text_ref": [
-          {
-            "line_start": 60,
-            "line_end": 65,
-            "confidence": 0.9
-          }
-        ],
-        "affected_id": "agent_003",
-        "risk_type": "EXECUTION_ERROR"
-      },
-      {
-        "id": "failure_002",
-        "description": "Location-Based Services Expert encountered API limitations when accessing real-time restaurant data, resulting in incomplete proximity analysis",
-        "raw_text": "",
-        "raw_text_ref": [
-          {
-            "line_start": 18,
-            "line_end": 22,
-            "confidence": 0.85
-          }
-        ],
-        "affected_id": "agent_001",
-        "risk_type": "RETRIEVAL_ERROR"
-      }
-    ],
-    "optimizations": [
-      {
-        "id": "opt_001",
-        "description": "Enhance location-based services with caching mechanisms and fallback data sources to improve reliability and reduce API dependency",
-        "raw_text": "Implement robust location service tools with redundancy",
-        "raw_text_ref": [
-          {
-            "line_start": 15,
-            "line_end": 25,
-            "confidence": 0.88
-          }
-        ],
-        "affected_ids": [
-          "agent_001"
-        ],
-        "recommendation_type": "TOOL_ENHANCEMENT"
-      },
-      {
-        "id": "opt_002",
-        "description": "Combine restaurant data collection and operating hours validation into a single integrated task to reduce coordination overhead and improve data consistency",
-        "raw_text": "Merge data collection and validation workflows",
-        "raw_text_ref": [
-          {
-            "line_start": 35,
-            "line_end": 65,
-            "confidence": 0.82
-          }
-        ],
-        "affected_ids": [
-          "agent_002",
-          "agent_003",
-          "task_002",
-          "task_003"
-        ],
-        "recommendation_type": "WORKFLOW_SIMPLIFICATION"
-      },
-      {
-        "id": "opt_003",
-        "description": "Refine Data Verification Expert prompts to include specific error handling and validation procedures for time-sensitive restaurant data",
-        "raw_text": "Improve validation prompts with error handling",
-        "raw_text_ref": [
-          {
-            "line_start": 55,
-            "line_end": 65,
-            "confidence": 0.85
-          }
-        ],
-        "affected_ids": [
-          "agent_003"
-        ],
-        "recommendation_type": "PROMPT_REFINEMENT"
-      }
-    ],
-    "metadata": {
-      "creation_timestamp": "2025-09-01T20:00:51.719651",
-      "trace_info": {
-        "trace_id": "sample_replay_demo_ff9c601e",
-        "processing_run_id": "bcbffcc9",
-        "window_count": 3,
-        "is_final": true
-      }
-    }
-  },
-  "extraction_info": {
-    "method": "enhanced_mock_creation",
-    "model": "human_designed",
-    "timestamp": "2025-01-27",
-    "api_key_used": "[REDACTED]",
-    "no_enhancement": false,
-    "source": "manual_design_for_demo"
-  }
-}

backend/database/samples/knowledge_graphs/kg_algorithm_sample_1_window_0.json

@@ -1,159 +0,0 @@
-{
-  "filename": "kg_algorithm_sample_1_window_0",
-  "trace_index": 0,
-  "graph_data": {
-    "system_name": "Location-Based Restaurant Discovery System (Window 1)",
-    "system_summary": "用户发起餐厅查询，位置服务专家开始地理邻近性分析。系统初始化并识别核心需求。",
-    "entities": [
-      {
-        "id": "input_001",
-        "type": "Input",
-        "name": "User Restaurant Query",
-        "importance": "HIGH",
-        "raw_prompt": "User request for closest eatery to Harkness Memorial State Park open at 11pm on Wednesdays",
-        "raw_prompt_ref": [
-          {
-            "line_start": 1,
-            "line_end": 3,
-            "confidence": 0.99
-          }
-        ]
-      },
-      {
-        "id": "agent_001",
-        "type": "Agent",
-        "name": "Location-Based Services Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Specialized in geographic information systems, spatial analysis, and location-based queries. Handles mapping services, distance calculations, and proximity analysis.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 15,
-            "line_end": 25,
-            "confidence": 0.95
-          }
-        ]
-      },
-      {
-        "id": "agent_002",
-        "type": "Agent",
-        "name": "Eateries Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Expert in restaurant data, food service information, and dining establishment databases. Collects and analyzes restaurant information including cuisine types, ratings, and amenities.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 35,
-            "line_end": 45,
-            "confidence": 0.92
-          }
-        ]
-      },
-      {
-        "id": "task_001",
-        "type": "Task",
-        "name": "Geographic Proximity Analysis",
-        "importance": "HIGH",
-        "raw_prompt": "Analyze geographic proximity between Harkness Memorial State Park and nearby restaurants. Calculate distances and identify closest establishments.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 5,
-            "line_end": 10,
-            "confidence": 0.98
-          }
-        ]
-      },
-      {
-        "id": "agent_004",
-        "type": "Tool",
-        "name": "Computer Terminal",
-        "importance": "MEDIUM",
-        "raw_prompt": "Code execution environment and computational terminal for running calculations, scripts, and data processing tasks. Provides computational support to other agents when code execution is required.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 75,
-            "line_end": 80,
-            "confidence": 0.85
-          }
-        ]
-      }
-    ],
-    "relations": [
-      {
-        "id": "rel_001",
-        "source": "input_001",
-        "target": "agent_001",
-        "type": "CONSUMED_BY",
-        "importance": "HIGH",
-        "interaction_prompt": "Location-based query consumed by Location-Based Services Expert",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 5,
-            "line_end": 8,
-            "confidence": 0.95
-          }
-        ]
-      },
-      {
-        "id": "rel_002",
-        "source": "agent_001",
-        "target": "task_001",
-        "type": "PERFORMS",
-        "importance": "HIGH",
-        "interaction_prompt": "Location-Based Services Expert performs geographic proximity analysis",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 15,
-            "line_end": 25,
-            "confidence": 0.92
-          }
-        ]
-      },
-      {
-        "id": "rel_009",
-        "source": "agent_004",
-        "target": "task_001",
-        "type": "REQUIRED_BY",
-        "importance": "MEDIUM",
-        "interaction_prompt": "Computational task requires Computer Terminal for execution",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 20,
-            "line_end": 25,
-            "confidence": 0.8
-          }
-        ]
-      },
-      {
-        "id": "rel_uses_computer",
-        "source": "agent_001",
-        "target": "agent_004",
-        "type": "USES",
-        "importance": "MEDIUM",
-        "interaction_prompt": "Agent uses Computer Terminal for computational tasks",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 50,
-            "line_end": 55,
-            "confidence": 0.8
-          }
-        ]
-      }
-    ],
-    "failures": [],
-    "optimizations": [],
-    "metadata": {
-      "creation_timestamp": "2025-09-01T20:00:51.718586",
-      "window_info": {
-        "window_index": 0,
-        "window_total": 3,
-        "trace_id": "sample_replay_demo_ff9c601e",
-        "processing_run_id": "bcbffcc9",
-        "window_start_char": 0,
-        "window_end_char": 3500,
-        "chunk_size": 3500,
-        "splitter_type": "demo_window",
-        "entities_count": 5,
-        "relations_count": 4
-      }
-    }
-  }
-}

backend/database/samples/knowledge_graphs/kg_algorithm_sample_1_window_1.json

@@ -1,246 +0,0 @@
-{
-  "filename": "kg_algorithm_sample_1_window_1",
-  "trace_index": 1,
-  "graph_data": {
-    "system_name": "Location-Based Restaurant Discovery System (Window 2)",
-    "system_summary": "餐厅专家收集数据，数据验证专家进行营业时间验证。系统扩展分析能力并处理更复杂的查询。",
-    "entities": [
-      {
-        "id": "input_001",
-        "type": "Input",
-        "name": "User Restaurant Query",
-        "importance": "HIGH",
-        "raw_prompt": "User request for closest eatery to Harkness Memorial State Park open at 11pm on Wednesdays",
-        "raw_prompt_ref": [
-          {
-            "line_start": 1,
-            "line_end": 3,
-            "confidence": 0.99
-          }
-        ]
-      },
-      {
-        "id": "agent_001",
-        "type": "Agent",
-        "name": "Location-Based Services Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Specialized in geographic information systems, spatial analysis, and location-based queries. Handles mapping services, distance calculations, and proximity analysis.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 15,
-            "line_end": 25,
-            "confidence": 0.95
-          }
-        ]
-      },
-      {
-        "id": "agent_002",
-        "type": "Agent",
-        "name": "Eateries Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Expert in restaurant data, food service information, and dining establishment databases. Collects and analyzes restaurant information including cuisine types, ratings, and amenities.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 35,
-            "line_end": 45,
-            "confidence": 0.92
-          }
-        ]
-      },
-      {
-        "id": "agent_003",
-        "type": "Agent",
-        "name": "Data Verification Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Responsible for validating data accuracy, cross-referencing information sources, and ensuring data quality. Specializes in verification of business hours, contact information, and operational status.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 55,
-            "line_end": 65,
-            "confidence": 0.88
-          }
-        ]
-      },
-      {
-        "id": "task_001",
-        "type": "Task",
-        "name": "Geographic Proximity Analysis",
-        "importance": "HIGH",
-        "raw_prompt": "Analyze geographic proximity between Harkness Memorial State Park and nearby restaurants. Calculate distances and identify closest establishments.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 5,
-            "line_end": 10,
-            "confidence": 0.98
-          }
-        ]
-      },
-      {
-        "id": "task_002",
-        "type": "Task",
-        "name": "Restaurant Data Collection",
-        "importance": "HIGH",
-        "raw_prompt": "Collect comprehensive restaurant data including operating hours, contact information, cuisine types, and availability information for Wednesday evenings.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 25,
-            "line_end": 35,
-            "confidence": 0.94
-          }
-        ]
-      },
-      {
-        "id": "agent_004",
-        "type": "Tool",
-        "name": "Computer Terminal",
-        "importance": "MEDIUM",
-        "raw_prompt": "Code execution environment and computational terminal for running calculations, scripts, and data processing tasks. Provides computational support to other agents when code execution is required.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 75,
-            "line_end": 80,
-            "confidence": 0.85
-          }
-        ]
-      },
-      {
-        "id": "output_001",
-        "type": "Output",
-        "name": "Restaurant Recommendations",
-        "importance": "HIGH",
-        "raw_prompt": "Comprehensive restaurant recommendations with verified operating hours and proximity information",
-        "raw_prompt_ref": [
-          {
-            "line_start": 90,
-            "line_end": 95,
-            "confidence": 0.93
-          }
-        ]
-      }
-    ],
-    "relations": [
-      {
-        "id": "rel_001",
-        "source": "input_001",
-        "target": "agent_001",
-        "type": "CONSUMED_BY",
-        "importance": "HIGH",
-        "interaction_prompt": "Location-based query consumed by Location-Based Services Expert",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 5,
-            "line_end": 8,
-            "confidence": 0.95
-          }
-        ]
-      },
-      {
-        "id": "rel_002",
-        "source": "agent_001",
-        "target": "task_001",
-        "type": "PERFORMS",
-        "importance": "HIGH",
-        "interaction_prompt": "Location-Based Services Expert performs geographic proximity analysis",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 15,
-            "line_end": 25,
-            "confidence": 0.92
-          }
-        ]
-      },
-      {
-        "id": "rel_003",
-        "source": "agent_002",
-        "target": "task_002",
-        "type": "PERFORMS",
-        "importance": "HIGH",
-        "interaction_prompt": "Eateries Expert performs restaurant data collection",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 35,
-            "line_end": 45,
-            "confidence": 0.89
-          }
-        ]
-      },
-      {
-        "id": "rel_005",
-        "source": "task_001",
-        "target": "task_002",
-        "type": "NEXT",
-        "importance": "HIGH",
-        "interaction_prompt": "Geographic analysis leads to restaurant data collection",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 25,
-            "line_end": 30,
-            "confidence": 0.88
-          }
-        ]
-      },
-      {
-        "id": "rel_009",
-        "source": "agent_004",
-        "target": "task_001",
-        "type": "REQUIRED_BY",
-        "importance": "MEDIUM",
-        "interaction_prompt": "Computational task requires Computer Terminal for execution",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 20,
-            "line_end": 25,
-            "confidence": 0.8
-          }
-        ]
-      },
-      {
-        "id": "rel_uses_computer",
-        "source": "agent_001",
-        "target": "agent_004",
-        "type": "USES",
-        "importance": "MEDIUM",
-        "interaction_prompt": "Agent uses Computer Terminal for computational tasks",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 50,
-            "line_end": 55,
-            "confidence": 0.8
-          }
-        ]
-      }
-    ],
-    "failures": [
-      {
-        "id": "failure_001",
-        "description": "Data Verification Expert failed to properly validate restaurant operating hours due to incorrect Python code implementation, leading to inaccurate 11pm availability data",
-        "raw_text": "",
-        "raw_text_ref": [
-          {
-            "line_start": 60,
-            "line_end": 65,
-            "confidence": 0.9
-          }
-        ],
-        "affected_id": "agent_003",
-        "risk_type": "EXECUTION_ERROR"
-      }
-    ],
-    "optimizations": [],
-    "metadata": {
-      "creation_timestamp": "2025-09-01T20:00:51.718956",
-      "window_info": {
-        "window_index": 1,
-        "window_total": 3,
-        "trace_id": "sample_replay_demo_ff9c601e",
-        "processing_run_id": "bcbffcc9",
-        "window_start_char": 3500,
-        "window_end_char": 7000,
-        "chunk_size": 3500,
-        "splitter_type": "demo_window",
-        "entities_count": 8,
-        "relations_count": 6
-      }
-    }
-  }
-}

backend/database/samples/knowledge_graphs/kg_algorithm_sample_1_window_2.json

@@ -1,400 +0,0 @@
-{
-  "filename": "kg_algorithm_sample_1_window_2",
-  "trace_index": 2,
-  "graph_data": {
-    "system_name": "Location-Based Restaurant Discovery System (Window 3)",
-    "system_summary": "系统完成所有分析，生成综合餐厅推荐并交付给最终用户。完成完整的发现工作流程。",
-    "entities": [
-      {
-        "id": "agent_001",
-        "type": "Agent",
-        "name": "Location-Based Services Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Specialized in geographic information systems, spatial analysis, and location-based queries. Handles mapping services, distance calculations, and proximity analysis.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 15,
-            "line_end": 25,
-            "confidence": 0.95
-          }
-        ]
-      },
-      {
-        "id": "agent_002",
-        "type": "Agent",
-        "name": "Eateries Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Expert in restaurant data, food service information, and dining establishment databases. Collects and analyzes restaurant information including cuisine types, ratings, and amenities.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 35,
-            "line_end": 45,
-            "confidence": 0.92
-          }
-        ]
-      },
-      {
-        "id": "agent_003",
-        "type": "Agent",
-        "name": "Data Verification Expert",
-        "importance": "HIGH",
-        "raw_prompt": "Responsible for validating data accuracy, cross-referencing information sources, and ensuring data quality. Specializes in verification of business hours, contact information, and operational status.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 55,
-            "line_end": 65,
-            "confidence": 0.88
-          }
-        ]
-      },
-      {
-        "id": "agent_004",
-        "type": "Tool",
-        "name": "Computer Terminal",
-        "importance": "MEDIUM",
-        "raw_prompt": "Code execution environment and computational terminal for running calculations, scripts, and data processing tasks. Provides computational support to other agents when code execution is required.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 75,
-            "line_end": 80,
-            "confidence": 0.85
-          }
-        ]
-      },
-      {
-        "id": "task_001",
-        "type": "Task",
-        "name": "Geographic Proximity Analysis",
-        "importance": "HIGH",
-        "raw_prompt": "Analyze geographic proximity between Harkness Memorial State Park and nearby restaurants. Calculate distances and identify closest establishments.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 5,
-            "line_end": 10,
-            "confidence": 0.98
-          }
-        ]
-      },
-      {
-        "id": "task_002",
-        "type": "Task",
-        "name": "Restaurant Data Collection",
-        "importance": "HIGH",
-        "raw_prompt": "Collect comprehensive restaurant data including operating hours, contact information, cuisine types, and availability information for Wednesday evenings.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 25,
-            "line_end": 35,
-            "confidence": 0.94
-          }
-        ]
-      },
-      {
-        "id": "task_003",
-        "type": "Task",
-        "name": "Operating Hours Validation",
-        "importance": "HIGH",
-        "raw_prompt": "Verify restaurant operating hours for Wednesday nights, specifically checking 11pm availability and cross-referencing multiple data sources.",
-        "raw_prompt_ref": [
-          {
-            "line_start": 45,
-            "line_end": 55,
-            "confidence": 0.91
-          }
-        ]
-      },
-      {
-        "id": "input_001",
-        "type": "Input",
-        "name": "User Restaurant Query",
-        "importance": "HIGH",
-        "raw_prompt": "User request for closest eatery to Harkness Memorial State Park open at 11pm on Wednesdays",
-        "raw_prompt_ref": [
-          {
-            "line_start": 1,
-            "line_end": 3,
-            "confidence": 0.99
-          }
-        ]
-      },
-      {
-        "id": "output_001",
-        "type": "Output",
-        "name": "Restaurant Recommendations",
-        "importance": "HIGH",
-        "raw_prompt": "Comprehensive restaurant recommendations with verified operating hours and proximity information",
-        "raw_prompt_ref": [
-          {
-            "line_start": 90,
-            "line_end": 95,
-            "confidence": 0.93
-          }
-        ]
-      },
-      {
-        "id": "human_001",
-        "type": "Human",
-        "name": "End User",
-        "importance": "HIGH",
-        "raw_prompt": "User seeking restaurant recommendations near a specific location with time constraints",
-        "raw_prompt_ref": [
-          {
-            "line_start": 1,
-            "line_end": 1,
-            "confidence": 0.95
-          }
-        ]
-      }
-    ],
-    "relations": [
-      {
-        "id": "rel_001",
-        "source": "input_001",
-        "target": "agent_001",
-        "type": "CONSUMED_BY",
-        "importance": "HIGH",
-        "interaction_prompt": "Location-based query consumed by Location-Based Services Expert",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 5,
-            "line_end": 8,
-            "confidence": 0.95
-          }
-        ]
-      },
-      {
-        "id": "rel_002",
-        "source": "agent_001",
-        "target": "task_001",
-        "type": "PERFORMS",
-        "importance": "HIGH",
-        "interaction_prompt": "Location-Based Services Expert performs geographic proximity analysis",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 15,
-            "line_end": 25,
-            "confidence": 0.92
-          }
-        ]
-      },
-      {
-        "id": "rel_003",
-        "source": "agent_002",
-        "target": "task_002",
-        "type": "PERFORMS",
-        "importance": "HIGH",
-        "interaction_prompt": "Eateries Expert performs restaurant data collection",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 35,
-            "line_end": 45,
-            "confidence": 0.89
-          }
-        ]
-      },
-      {
-        "id": "rel_004",
-        "source": "agent_003",
-        "target": "task_003",
-        "type": "PERFORMS",
-        "importance": "HIGH",
-        "interaction_prompt": "Data Verification Expert performs operating hours validation",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 55,
-            "line_end": 65,
-            "confidence": 0.87
-          }
-        ]
-      },
-      {
-        "id": "rel_005",
-        "source": "task_001",
-        "target": "task_002",
-        "type": "NEXT",
-        "importance": "HIGH",
-        "interaction_prompt": "Geographic analysis leads to restaurant data collection",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 25,
-            "line_end": 30,
-            "confidence": 0.88
-          }
-        ]
-      },
-      {
-        "id": "rel_006",
-        "source": "task_002",
-        "target": "task_003",
-        "type": "NEXT",
-        "importance": "HIGH",
-        "interaction_prompt": "Restaurant data collection followed by operating hours validation",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 45,
-            "line_end": 50,
-            "confidence": 0.85
-          }
-        ]
-      },
-      {
-        "id": "rel_007",
-        "source": "task_003",
-        "target": "output_001",
-        "type": "PRODUCES",
-        "importance": "HIGH",
-        "interaction_prompt": "Validation task produces final restaurant recommendations",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 90,
-            "line_end": 95,
-            "confidence": 0.92
-          }
-        ]
-      },
-      {
-        "id": "rel_008",
-        "source": "output_001",
-        "target": "human_001",
-        "type": "DELIVERS_TO",
-        "importance": "HIGH",
-        "interaction_prompt": "Restaurant recommendations delivered to end user",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 95,
-            "line_end": 100,
-            "confidence": 0.93
-          }
-        ]
-      },
-      {
-        "id": "rel_009",
-        "source": "agent_004",
-        "target": "task_001",
-        "type": "REQUIRED_BY",
-        "importance": "MEDIUM",
-        "interaction_prompt": "Computational task requires Computer Terminal for execution",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 20,
-            "line_end": 25,
-            "confidence": 0.8
-          }
-        ]
-      },
-      {
-        "id": "rel_uses_computer",
-        "source": "agent_001",
-        "target": "agent_004",
-        "type": "USES",
-        "importance": "MEDIUM",
-        "interaction_prompt": "Agent uses Computer Terminal for computational tasks",
-        "interaction_prompt_ref": [
-          {
-            "line_start": 50,
-            "line_end": 55,
-            "confidence": 0.8
-          }
-        ]
-      }
-    ],
-    "failures": [
-      {
-        "id": "failure_001",
-        "description": "Data Verification Expert failed to properly validate restaurant operating hours due to incorrect Python code implementation, leading to inaccurate 11pm availability data",
-        "raw_text": "",
-        "raw_text_ref": [
-          {
-            "line_start": 60,
-            "line_end": 65,
-            "confidence": 0.9
-          }
-        ],
-        "affected_id": "agent_003",
-        "risk_type": "EXECUTION_ERROR"
-      },
-      {
-        "id": "failure_002",
-        "description": "Location-Based Services Expert encountered API limitations when accessing real-time restaurant data, resulting in incomplete proximity analysis",
-        "raw_text": "",
-        "raw_text_ref": [
-          {
-            "line_start": 18,
-            "line_end": 22,
-            "confidence": 0.85
-          }
-        ],
-        "affected_id": "agent_001",
-        "risk_type": "RETRIEVAL_ERROR"
-      }
-    ],
-    "optimizations": [
-      {
-        "id": "opt_001",
-        "description": "Enhance location-based services with caching mechanisms and fallback data sources to improve reliability and reduce API dependency",
-        "raw_text": "Implement robust location service tools with redundancy",
-        "raw_text_ref": [
-          {
-            "line_start": 15,
-            "line_end": 25,
-            "confidence": 0.88
-          }
-        ],
-        "affected_ids": [
-          "agent_001"
-        ],
-        "recommendation_type": "TOOL_ENHANCEMENT"
-      },
-      {
-        "id": "opt_002",
-        "description": "Combine restaurant data collection and operating hours validation into a single integrated task to reduce coordination overhead and improve data consistency",
-        "raw_text": "Merge data collection and validation workflows",
-        "raw_text_ref": [
-          {
-            "line_start": 35,
-            "line_end": 65,
-            "confidence": 0.82
-          }
-        ],
-        "affected_ids": [
-          "agent_002",
-          "agent_003",
-          "task_002",
-          "task_003"
-        ],
-        "recommendation_type": "WORKFLOW_SIMPLIFICATION"
-      },
-      {
-        "id": "opt_003",
-        "description": "Refine Data Verification Expert prompts to include specific error handling and validation procedures for time-sensitive restaurant data",
-        "raw_text": "Improve validation prompts with error handling",
-        "raw_text_ref": [
-          {
-            "line_start": 55,
-            "line_end": 65,
-            "confidence": 0.85
-          }
-        ],
-        "affected_ids": [
-          "agent_003"
-        ],
-        "recommendation_type": "PROMPT_REFINEMENT"
-      }
-    ],
-    "metadata": {
-      "creation_timestamp": "2025-09-01T20:00:51.719248",
-      "window_info": {
-        "window_index": 2,
-        "window_total": 3,
-        "trace_id": "sample_replay_demo_ff9c601e",
-        "processing_run_id": "bcbffcc9",
-        "window_start_char": 7000,
-        "window_end_char": 10500,
-        "chunk_size": 3500,
-        "splitter_type": "demo_window",
-        "entities_count": 10,
-        "relations_count": 10
-      }
-    }
-  }
-}

backend/database/samples/samples_config.json

@@ -169,52 +169,12 @@
         "pipeline_optimization",
         "conservation_applications"
       ]
-    },
-    {
-      "id": "window_replay_demo",
-      "name": "Location-Based Restaurant Discovery (Window Replay Demo)",
-      "description": "Temporal replay demonstration showing progressive knowledge graph evolution through 3 windows. Multi-agent restaurant discovery system with location analysis, data collection, and validation stages.",
-      "trace_file": "traces/replay_demo_trace.json",
-      "knowledge_graph_file": "knowledge_graphs/kg_algorithm_sample_1_final.json",
-      "window_kgs": [
-        "knowledge_graphs/kg_algorithm_sample_1_window_0.json",
-        "knowledge_graphs/kg_algorithm_sample_1_window_1.json",
-        "knowledge_graphs/kg_algorithm_sample_1_window_2.json"
-      ],
-      "tags": [
-        "replay_demo",
-        "temporal_visualization",
-        "multi_agent",
-        "restaurant_discovery",
-        "progressive_evolution",
-        "window_graphs"
-      ],
-      "complexity": "advanced",
-      "trace_type": "multi_agent_collaboration_windowed",
-      "trace_source": "sample_data_replay",
-      "features": [
-        "temporal_replay",
-        "window_progression",
-        "multi_agent_collaboration",
-        "progressive_discovery",
-        "knowledge_evolution",
-        "interactive_visualization"
-      ],
-      "replay_info": {
-        "window_count": 3,
-        "supports_replay": true,
-        "progression_stages": [
-          "Initial Query & Location Analysis",
-          "Data Collection & Verification",
-          "Result Generation & Delivery"
-        ]
-      }
     }
   ],
   "metadata": {
     "version": "2.0.0",
     "created": "2025-01-27",
-    "updated": "2025-09-01",
+    "updated": "2025-01-27",
     "description": "Comprehensive AgentGraph sample data showcasing diverse multi-agent interactions across multiple domains including location services, probability theory, academic research, and ecological data analysis"
   }
-}
+}