Update sample_data.py

sample_data.py

@@ -479,481 +479,6 @@ WBS_DIAGRAM_JSON = """
 
 """
 
-CONCEPT_MAP_JSON = """
-{
-  "central_node": "Artificial Intelligence (AI)",
-  "nodes": [
-    {
-      "id": "ml_fundamental",
-      "label": "Machine Learning",
-      "relationship": "is essential for",
-      "subnodes": [
-        {
-          "id": "dl_branch",
-          "label": "Deep Learning",
-          "relationship": "for example",
-          "subnodes": [
-            {
-              "id": "cnn_example",
-              "label": "CNNs",
-              "relationship": "for example"
-            },
-            {
-              "id": "rnn_example",
-              "label": "RNNs",
-              "relationship": "for example"
-            }
-          ]
-        },
-        {
-          "id": "rl_branch",
-          "label": "Reinforcement Learning",
-          "relationship": "for example",
-          "subnodes": [
-            {
-              "id": "qlearning_example",
-              "label": "Q-Learning",
-              "relationship": "example"
-            },
-            {
-              "id": "pg_example",
-              "label": "Policy Gradients",
-              "relationship": "example"
-            }
-          ]
-        }
-      ]
-    },
-    {
-      "id": "ai_types",
-      "label": "Types",
-      "relationship": "formed by",
-      "subnodes": [
-        {
-          "id": "agi_type",
-          "label": "AGI",
-          "relationship": "this is",
-          "subnodes": [
-            {
-              "id": "strong_ai",
-              "label": "Strong AI",
-              "relationship": "provoked by",
-              "subnodes": [
-                {
-                  "id": "human_intel",
-                  "label": "Human-level Intel.",
-                  "relationship": "of"
-                }
-              ]
-            }
-          ]
-        },
-        {
-          "id": "ani_type",
-          "label": "ANI",
-          "relationship": "this is",
-          "subnodes": [
-            {
-              "id": "weak_ai",
-              "label": "Weak AI",
-              "relationship": "provoked by",
-              "subnodes": [
-                {
-                  "id": "narrow_tasks",
-                  "label": "Narrow Tasks",
-                  "relationship": "of"
-                }
-              ]
-            }
-          ]
-        }
-      ]
-    },
-    {
-      "id": "ai_capabilities",
-      "label": "Capabilities",
-      "relationship": "change",
-      "subnodes": [
-        {
-          "id": "data_proc",
-          "label": "Data Processing",
-          "relationship": "can",
-          "subnodes": [
-            {
-              "id": "big_data",
-              "label": "Big Data",
-              "relationship": "as",
-              "subnodes": [
-                {
-                  "id": "analysis_example",
-                  "label": "Data Analysis",
-                  "relationship": "example"
-                },
-                {
-                  "id": "prediction_example",
-                  "label": "Prediction",
-                  "relationship": "example"
-                }
-              ]
-            }
-          ]
-        },
-        {
-          "id": "decision_making",
-          "label": "Decision Making",
-          "relationship": "can be",
-          "subnodes": [
-            {
-              "id": "automation",
-              "label": "Automation",
-              "relationship": "as",
-              "subnodes": [
-                {
-                  "id": "robotics_example",
-                  "label": "Robotics",
-                  "relationship": "Example"},
-                {
-                  "id": "autonomous_example",
-                  "label": "Autonomous Vehicles",
-                  "relationship": "of one"
-                }
-              ]
-            }
-          ]
-        },
-        {
-          "id": "problem_solving",
-          "label": "Problem Solving",
-          "relationship": "can",
-          "subnodes": [
-            {
-              "id": "optimization",
-              "label": "Optimization",
-              "relationship": "as is",
-              "subnodes": [
-                {
-                  "id": "algorithms_example",
-                  "label": "Algorithms",
-                  "relationship": "for example"
-                }
-              ]
-            }
-          ]
-        }
-      ]
-    }
-  ]
-}
-"""
-
-SYNOPTIC_CHART_JSON = """
-{
-  "central_node": "AI Project Lifecycle",
-  "nodes": [
-    {
-      "id": "phase1",
-      "label": "I. Problem Definition & Data Acquisition",
-      "relationship": "Starts with",
-      "subnodes": [
-        {
-          "id": "sub1_1",
-          "label": "1. Problem Formulation",
-          "relationship": "Involves",
-          "subnodes": [
-            {"id": "sub1_1_1", "label": "1.1. Identify Business Need", "relationship": "e.g."},
-            {"id": "sub1_1_2", "label": "1.2. Define KPIs", "relationship": "e.g."}
-          ]
-        },
-        {
-          "id": "sub1_2",
-          "label": "2. Data Collection",
-          "relationship": "Followed by",
-          "subnodes": [
-            {"id": "sub1_2_1", "label": "2.1. Source Data", "relationship": "from"},
-            {"id": "sub1_2_2", "label": "2.2. Data Cleaning", "relationship": "includes"}
-          ]
-        }
-      ]
-    },
-    {
-      "id": "phase2",
-      "label": "II. Model Development",
-      "relationship": "Proceeds to",
-      "subnodes": [
-        {
-          "id": "sub2_1",
-          "label": "1. Feature Engineering",
-          "relationship": "Comprises",
-          "subnodes": [
-            {"id": "sub2_1_1", "label": "1.1. Feature Selection", "relationship": "e.g."},
-            {"id": "sub2_1_2", "label": "1.2. Feature Transformation", "relationship": "e.g."}
-          ]
-        },
-        {
-          "id": "sub2_2",
-          "label": "2. Model Training",
-          "relationship": "Involves",
-          "subnodes": [
-            {"id": "sub2_2_1", "label": "2.1. Algorithm Selection", "relationship": "uses"},
-            {"id": "sub2_2_2", "label": "2.2. Hyperparameter Tuning", "relationship": "optimizes"}
-          ]
-        }
-      ]
-    },
-    {
-      "id": "phase3",
-      "label": "III. Evaluation & Deployment",
-      "relationship": "Culminates in",
-      "subnodes": [
-        {
-          "id": "sub3_1",
-          "label": "1. Model Evaluation",
-          "relationship": "Includes",
-          "subnodes": [
-            {"id": "sub3_1_1", "label": "1.1. Performance Metrics", "relationship": "measures"},
-            {"id": "sub3_1_2", "label": "1.2. Bias & Fairness Audits", "relationship": "ensures"}
-          ]
-        },
-        {
-          "id": "sub3_2",
-          "label": "2. Deployment & Monitoring",
-          "relationship": "Requires",
-          "subnodes": [
-            {"id": "sub3_2_1", "label": "2.1. API/Integration Development", "relationship": "for"},
-            {"id": "sub3_2_2", "label": "2.2. Continuous Monitoring", "relationship": "ensures"}
-          ]
-        }
-      ]
-    }
-  ]
-}
-"""
-
-RADIAL_DIAGRAM_JSON = """
-{
-  "central_node": "AI Core Concepts & Domains",
-  "nodes": [
-    {
-      "id": "foundational_ml",
-      "label": "Foundational ML",
-      "relationship": "builds on",
-      "subnodes": [
-        {"id": "supervised_l", "label": "Supervised Learning", "relationship": "e.g."},
-        {"id": "unsupervised_l", "label": "Unsupervised Learning", "relationship": "e.g."}
-      ]
-    },
-    {
-      "id": "dl_architectures",
-      "label": "Deep Learning Arch.",
-      "relationship": "evolved from",
-      "subnodes": [
-        {"id": "cnns_rad", "label": "CNNs", "relationship": "e.g."},
-        {"id": "rnns_rad", "label": "RNNs", "relationship": "e.g."}
-      ]
-    },
-    {
-      "id": "major_applications",
-      "label": "Major AI Applications",
-      "relationship": "applied in",
-      "subnodes": [
-        {"id": "nlp_rad", "label": "Natural Language Processing", "relationship": "e.g."},
-        {"id": "cv_rad", "label": "Computer Vision", "relationship": "e.g."}
-      ]
-    },
-    {
-      "id": "ethical_concerns",
-      "label": "Ethical AI Concerns",
-      "relationship": "addresses",
-      "subnodes": [
-        {"id": "fairness_rad", "label": "Fairness & Bias", "relationship": "e.g."},
-        {"id": "explainability", "label": "Explainability (XAI)", "relationship": "e.g."}
-      ]
-    },
-    {
-      "id": "future_trends",
-      "label": "Future AI Trends",
-      "relationship": "looking at",
-      "subnodes": [
-        {"id": "agi_future", "label": "AGI Development", "relationship": "e.g."},
-        {"id": "quantum_ai", "label": "Quantum AI", "relationship": "e.g."}
-      ]
-    }
-  ]
-}
-"""
-
-PROCESS_FLOW_JSON = """
-{
-  "start_node": "Start Inference Request",
-  "nodes": [
-    {
-      "id": "user_input",
-      "label": "Receive User Input (Data)",
-      "type": "io"
-    },
-    {
-      "id": "preprocess_data",
-      "label": "Preprocess Data",
-      "type": "process"
-    },
-    {
-      "id": "validate_data",
-      "label": "Validate Data Format/Type",
-      "type": "decision"
-    },
-    {
-      "id": "data_valid_yes",
-      "label": "Data Valid?",
-      "type": "decision"
-    },
-    {
-      "id": "load_model",
-      "label": "Load AI Model (if not cached)",
-      "type": "process"
-    },
-    {
-      "id": "run_inference",
-      "label": "Run AI Model Inference",
-      "type": "process"
-    },
-    {
-      "id": "postprocess_output",
-      "label": "Postprocess Model Output",
-      "type": "process"
-    },
-    {
-      "id": "send_response",
-      "label": "Send Response to User",
-      "type": "io"
-    },
-    {
-      "id": "log_error",
-      "label": "Log Error & Notify User",
-      "type": "process"
-    },
-    {
-      "id": "end_inference_process",
-      "label": "End Inference Process",
-      "type": "end"
-    }
-  ],
-  "connections": [
-    {"from": "start_node", "to": "user_input", "label": "Request"},
-    {"from": "user_input", "to": "preprocess_data", "label": "Data Received"},
-    {"from": "preprocess_data", "to": "validate_data", "label": "Cleaned"},
-    {"from": "validate_data", "to": "data_valid_yes", "label": "Check"},
-    {"from": "data_valid_yes", "to": "load_model", "label": "Yes"},
-    {"from": "data_valid_yes", "to": "log_error", "label": "No"},
-    {"from": "load_model", "to": "run_inference", "label": "Model Ready"},
-    {"from": "run_inference", "to": "postprocess_output", "label": "Output Generated"},
-    {"from": "postprocess_output", "to": "send_response", "label": "Ready"},
-    {"from": "send_response", "to": "end_inference_process", "label": "Response Sent"},
-    {"from": "log_error", "to": "end_inference_process", "label": "Error Handled"}
-  ]
-}
-"""
-
-WBS_DIAGRAM_JSON = """
-{
-  "project_title": "AI Model Development Project",
-  "phases": [
-    {
-      "id": "phase_prep",
-      "label": "Preparation",
-      "tasks": [
-        {
-          "id": "task_1_1_vision",
-          "label": "Identify Vision",
-          "subtasks": [
-            {
-              "id": "subtask_1_1_1_design_staff",
-              "label": "Design & Staffing",
-              "sub_subtasks": [
-                {
-                  "id": "ss_task_1_1_1_1_env_setup",
-                  "label": "Environment Setup",
-                  "sub_sub_subtasks": [
-                    {
-                      "id": "sss_task_1_1_1_1_1_lib_install",
-                      "label": "Install Libraries",
-                      "final_level_tasks": [
-                        {"id": "ft_1_1_1_1_1_1_data_access", "label": "Grant Data Access"}
-                      ]
-                    }
-                  ]
-                }
-              ]
-            }
-          ]
-        }
-      ]
-    },
-    {
-      "id": "phase_plan",
-      "label": "Planning",
-      "tasks": [
-        {
-          "id": "task_2_1_cost_analysis",
-          "label": "Cost Analysis",
-          "subtasks": [
-            {
-              "id": "subtask_2_1_1_benefit_analysis",
-              "label": "Benefit Analysis",
-              "sub_subtasks": [
-                {
-                  "id": "ss_task_2_1_1_1_risk_assess",
-                  "label": "AI Risk Assessment",
-                  "sub_sub_subtasks": [
-                    {
-                      "id": "sss_task_2_1_1_1_1_model_selection",
-                      "label": "Model Selection",
-                      "final_level_tasks": [
-                        {"id": "ft_2_1_1_1_1_1_data_strategy", "label": "Data Strategy"}
-                      ]
-                    }
-                  ]
-                }
-              ]
-            }
-          ]
-        }
-      ]
-    },
-    {
-      "id": "phase_dev",
-      "label": "Development",
-      "tasks": [
-        {
-          "id": "task_3_1_change_mgmt",
-          "label": "Data Preprocessing",
-          "subtasks": [
-            {
-              "id": "subtask_3_1_1_implementation",
-              "label": "Feature Engineering",
-              "sub_subtasks": [
-                {
-                  "id": "ss_task_3_1_1_1_beta_testing",
-                  "label": "Model Training",
-                  "sub_sub_subtasks": [
-                    {
-                      "id": "sss_task_3_1_1_1_1_other_task",
-                      "label": "Model Evaluation",
-                      "final_level_tasks": [
-                        {"id": "ft_3_1_1_1_1_1_hyperparam_tune", "label": "Hyperparameter Tuning"}
-                      ]
-                    }
-                  ]
-                }
-              ]
-            }
-          ]
-        }
-      ]
-    }
-  ]
-}
-"""
-
 TIMELINE_JSON = """
 {
   "title": "Complete History of Artificial Intelligence",