Graphify / synoptic_chart_generator.py
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Update synoptic_chart_generator.py
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import graphviz
import json
from tempfile import NamedTemporaryFile
import os
from graph_generator_utils import add_nodes_and_edges
def generate_synoptic_chart(json_input: str) -> str:
"""
Generates a synoptic chart (horizontal flowchart) from JSON input.
"""
try:
if not json_input.strip():
return "Error: Empty input"
data = json.loads(json_input)
if 'central_node' not in data or 'nodes' not in data:
raise ValueError("Missing required fields: central_node or nodes")
dot = graphviz.Digraph(
name='SynopticChart',
format='png',
graph_attr={
'rankdir': 'LR', # Left-to-Right layout (horizontal hierarchy)
'splines': 'ortho', # Straight lines
'bgcolor': 'white', # White background
'pad': '0.5', # Padding around the graph
'ranksep': '0.7', # Reduced horizontal separation between ranks (columns)
'nodesep': '0.3' # Adjusted vertical separation between nodes in the same rank
}
)
base_color = '#19191a' # Base color for the central node and gradient
# Central node styling (rounded box, dark color)
dot.node(
'central',
data['central_node'],
shape='box', # Rectangular shape
style='filled,rounded', # Filled and rounded corners
fillcolor=base_color, # Darkest color
fontcolor='white', # White text for dark background
fontsize='16' # Larger font for central node
)
# Add child nodes and edges recursively starting from depth 1
add_nodes_and_edges(dot, 'central', data.get('nodes', []), current_depth=1, base_color=base_color)
# Save to temporary file
with NamedTemporaryFile(delete=False, suffix='.png') as tmp:
dot.render(tmp.name, format='png', cleanup=True)
return tmp.name + '.png'
except json.JSONDecodeError:
return "Error: Invalid JSON format"
except Exception as e:
return f"Error: {str(e)}"