Update radial_diagram_generator.py
Browse files- radial_diagram_generator.py +59 -0
radial_diagram_generator.py
CHANGED
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@@ -7,6 +7,65 @@ from graph_generator_utils import add_nodes_and_edges
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def generate_radial_diagram(json_input: str) -> str:
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"""
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Generates a radial (center-expanded) diagram from JSON input.
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"""
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try:
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if not json_input.strip():
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def generate_radial_diagram(json_input: str) -> str:
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"""
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Generates a radial (center-expanded) diagram from JSON input.
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Args:
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json_input (str): A JSON string describing the radial diagram structure.
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It must follow the Expected JSON Format Example below.
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Expected JSON Format Example:
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{
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"central_node": "AI Core Concepts & Domains",
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"nodes": [
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{
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"id": "foundational_ml",
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"label": "Foundational ML",
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"relationship": "builds on",
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"subnodes": [
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{"id": "supervised_l", "label": "Supervised Learning", "relationship": "e.g."},
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{"id": "unsupervised_l", "label": "Unsupervised Learning", "relationship": "e.g."}
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]
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},
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{
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"id": "dl_architectures",
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"label": "Deep Learning Arch.",
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"relationship": "evolved from",
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"subnodes": [
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{"id": "cnns_rad", "label": "CNNs", "relationship": "e.g."},
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{"id": "rnns_rad", "label": "RNNs", "relationship": "e.g."}
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]
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},
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{
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"id": "major_applications",
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"label": "Major AI Applications",
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"relationship": "applied in",
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"subnodes": [
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{"id": "nlp_rad", "label": "Natural Language Processing", "relationship": "e.g."},
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{"id": "cv_rad", "label": "Computer Vision", "relationship": "e.g."}
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]
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},
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{
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"id": "ethical_concerns",
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"label": "Ethical AI Concerns",
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"relationship": "addresses",
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"subnodes": [
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{"id": "fairness_rad", "label": "Fairness & Bias", "relationship": "e.g."},
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{"id": "explainability", "label": "Explainability (XAI)", "relationship": "e.g."}
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]
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},
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{
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"id": "future_trends",
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"label": "Future AI Trends",
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"relationship": "looking at",
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"subnodes": [
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{"id": "agi_future", "label": "AGI Development", "relationship": "e.g."},
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{"id": "quantum_ai", "label": "Quantum AI", "relationship": "e.g."}
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]
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}
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]
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}
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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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try:
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if not json_input.strip():
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