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1 Parent(s): 24cd2a2

Update concept_map_generator.py

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Files changed (1) hide show
  1. concept_map_generator.py +134 -6
concept_map_generator.py CHANGED
@@ -12,9 +12,6 @@ def generate_concept_map(json_input: str) -> str: # Removed base_color parameter
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  json_input (str): A JSON string describing the concept map structure.
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  It must follow the Expected JSON Format Example below.
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- Returns:
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- str: The filepath to the generated PNG image file.
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-
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  Expected JSON Format Example:
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  {
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  "central_node": "Artificial Intelligence (AI)",
@@ -29,8 +26,33 @@ def generate_concept_map(json_input: str) -> str: # Removed base_color parameter
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  "label": "Deep Learning",
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  "relationship": "for example",
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  "subnodes": [
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- {"id": "cnn_example", "label": "CNNs", "relationship": "for example"},
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- {"id": "rnn_example", "label": "RNNs", "relationship": "for example"}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ]
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  }
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  ]
@@ -45,13 +67,119 @@ def generate_concept_map(json_input: str) -> str: # Removed base_color parameter
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  "label": "AGI",
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  "relationship": "this is",
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  "subnodes": [
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- {"id": "strong_ai", "label": "Strong AI", "relationship": "provoked by"}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ]
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  }
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  ]
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  }
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  ]
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  }
 
 
 
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  """
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  try:
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  if not json_input.strip():
 
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  json_input (str): A JSON string describing the concept map structure.
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  It must follow the Expected JSON Format Example below.
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  Expected JSON Format Example:
16
  {
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  "central_node": "Artificial Intelligence (AI)",
 
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  "label": "Deep Learning",
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  "relationship": "for example",
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  "subnodes": [
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+ {
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+ "id": "cnn_example",
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+ "label": "CNNs",
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+ "relationship": "for example"
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+ },
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+ {
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+ "id": "rnn_example",
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+ "label": "RNNs",
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+ "relationship": "for example"
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+ }
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+ ]
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+ },
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+ {
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+ "id": "rl_branch",
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+ "label": "Reinforcement Learning",
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+ "relationship": "for example",
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+ "subnodes": [
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+ {
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+ "id": "qlearning_example",
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+ "label": "Q-Learning",
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+ "relationship": "example"
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+ },
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+ {
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+ "id": "pg_example",
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+ "label": "Policy Gradients",
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+ "relationship": "example"
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+ }
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  ]
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  }
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  ]
 
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  "label": "AGI",
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  "relationship": "this is",
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  "subnodes": [
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+ {
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+ "id": "strong_ai",
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+ "label": "Strong AI",
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+ "relationship": "provoked by",
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+ "subnodes": [
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+ {
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+ "id": "human_intel",
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+ "label": "Human-level Intel.",
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+ "relationship": "of"
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+ }
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+ ]
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+ }
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+ ]
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+ },
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+ {
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+ "id": "ani_type",
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+ "label": "ANI",
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+ "relationship": "this is",
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+ "subnodes": [
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+ {
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+ "id": "weak_ai",
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+ "label": "Weak AI",
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+ "relationship": "provoked by",
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+ "subnodes": [
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+ {
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+ "id": "narrow_tasks",
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+ "label": "Narrow Tasks",
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+ "relationship": "of"
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+ }
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+ ]
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+ }
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+ ]
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+ }
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+ ]
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+ },
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+ {
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+ "id": "ai_capabilities",
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+ "label": "Capabilities",
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+ "relationship": "change",
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+ "subnodes": [
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+ {
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+ "id": "data_proc",
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+ "label": "Data Processing",
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+ "relationship": "can",
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+ "subnodes": [
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+ {
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+ "id": "big_data",
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+ "label": "Big Data",
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+ "relationship": "as",
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+ "subnodes": [
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+ {
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+ "id": "analysis_example",
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+ "label": "Data Analysis",
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+ "relationship": "example"
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+ },
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+ {
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+ "id": "prediction_example",
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+ "label": "Prediction",
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+ "relationship": "example"
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+ }
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+ ]
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+ }
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+ ]
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+ },
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+ {
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+ "id": "decision_making",
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+ "label": "Decision Making",
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+ "relationship": "can be",
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+ "subnodes": [
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+ {
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+ "id": "automation",
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+ "label": "Automation",
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+ "relationship": "as",
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+ "subnodes": [
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+ {
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+ "id": "robotics_example",
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+ "label": "Robotics",
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+ "relationship": "Example"},
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+ {
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+ "id": "autonomous_example",
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+ "label": "Autonomous Vehicles",
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+ "relationship": "of one"
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+ }
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+ ]
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+ }
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+ ]
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+ },
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+ {
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+ "id": "problem_solving",
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+ "label": "Problem Solving",
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+ "relationship": "can",
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+ "subnodes": [
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+ {
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+ "id": "optimization",
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+ "label": "Optimization",
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+ "relationship": "as is",
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+ "subnodes": [
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+ {
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+ "id": "algorithms_example",
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+ "label": "Algorithms",
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+ "relationship": "for example"
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+ }
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+ ]
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+ }
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  ]
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  }
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  ]
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  }
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  ]
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  }
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+
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+ Returns:
182
+ str: The filepath to the generated PNG image file.
183
  """
184
  try:
185
  if not json_input.strip():