Graphify / timeline_generator.py
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Create timeline_generator.py
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import graphviz
import json
from tempfile import NamedTemporaryFile
import os
def generate_timeline_diagram(json_input: str, output_format: str) -> str:
"""
Generates a timeline diagram from JSON input.
Args:
json_input (str): A JSON string describing the timeline structure.
It must follow the Expected JSON Format Example below.
Expected JSON Format Example:
{
"title": "AI Development Timeline",
"events": [
{
"id": "event_1",
"label": "Machine Learning Foundations",
"date": "1950-1960",
"description": "Early neural networks and perceptrons"
},
{
"id": "event_2",
"label": "Expert Systems Era",
"date": "1970-1980",
"description": "Rule-based AI systems"
},
{
"id": "event_3",
"label": "Neural Network Revival",
"date": "1980-1990",
"description": "Backpropagation algorithm"
}
]
}
Returns:
str: The filepath to the generated PNG image file.
"""
try:
if not json_input.strip():
return "Error: Empty input"
data = json.loads(json_input)
if 'events' not in data:
raise ValueError("Missing required field: events")
dot = graphviz.Digraph(
name='Timeline',
format='png',
graph_attr={
'rankdir': 'LR', # Left-to-Right layout (horizontal timeline)
'splines': 'ortho', # Straight lines
'bgcolor': 'white', # White background
'pad': '0.5', # Padding around the graph
'nodesep': '1.0', # Spacing between nodes
'ranksep': '2.0' # Spacing between ranks
}
)
base_color = '#19191a' # Hardcoded base color
title = data.get('title', '')
events = data.get('events', [])
if not events:
raise ValueError("Timeline must contain at least one event")
# Add title node if provided
if title:
dot.node(
'title',
title,
shape='plaintext',
fontsize='18',
fontweight='bold',
fontcolor=base_color
)
# Add timeline events
previous_event_id = None
total_events = len(events)
for i, event in enumerate(events):
event_id = event.get('id', f'event_{i}')
event_label = event.get('label', f'Event {i+1}')
event_date = event.get('date', '')
event_description = event.get('description', '')
# Create full label with date and description
if event_date and event_description:
full_label = f"{event_date}\\n{event_label}\\n{event_description}"
elif event_date:
full_label = f"{event_date}\\n{event_label}"
elif event_description:
full_label = f"{event_label}\\n{event_description}"
else:
full_label = event_label
# Calculate color opacity based on position in timeline
if total_events == 1:
opacity = 'FF'
else:
opacity_value = int(255 * (1.0 - (i * 0.7 / (total_events - 1))))
opacity = format(opacity_value, '02x')
node_color = f"{base_color}{opacity}"
font_color = 'white' if i < total_events * 0.7 else 'black'
# Add the event node
dot.node(
event_id,
full_label,
shape='box',
style='filled,rounded',
fillcolor=node_color,
fontcolor=font_color,
fontsize='12',
width='2.5',
height='1.2'
)
# Connect to previous event if exists
if previous_event_id:
dot.edge(
previous_event_id,
event_id,
color='#666666',
arrowsize='0.8',
penwidth='2'
)
# Connect title to first event if title exists
if title and i == 0:
dot.edge('title', event_id, style='invis')
previous_event_id = event_id
with NamedTemporaryFile(delete=False, suffix=f'.{output_format}') as tmp:
dot.render(tmp.name, format=output_format, cleanup=True)
return f"{tmp.name}.{output_format}"
except json.JSONDecodeError:
return "Error: Invalid JSON format"
except Exception as e:
return f"Error: {str(e)}"