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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 serpentine 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. | |
output_format (str): The output format for the generated diagram. | |
Supported formats: "png" or "svg" | |
Expected JSON Format Example: | |
{ | |
"title": "AI Development Timeline", | |
"events_per_row": 4, | |
"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 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': 'TB', | |
'splines': 'ortho', | |
'bgcolor': 'white', | |
'pad': '0.8', | |
'nodesep': '3.0', | |
'ranksep': '2.5' | |
} | |
) | |
base_color = '#BEBEBE' | |
title = data.get('title', '') | |
events = data.get('events', []) | |
events_per_row = data.get('events_per_row', 4) | |
if not events: | |
raise ValueError("Timeline must contain at least one event") | |
if title: | |
dot.node( | |
'title', | |
title, | |
shape='plaintext', | |
fontsize='18', | |
fontweight='bold', | |
fontcolor='#000000', | |
pos="6,2!" | |
) | |
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', '') | |
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 | |
lightening_factor = 0.0417 | |
base_r = int(base_color[1:3], 16) | |
base_g = int(base_color[3:5], 16) | |
base_b = int(base_color[5:7], 16) | |
current_r = base_r + int((255 - base_r) * i * lightening_factor) | |
current_g = base_g + int((255 - base_g) * i * lightening_factor) | |
current_b = base_b + int((255 - base_b) * i * lightening_factor) | |
current_r = min(255, current_r) | |
current_g = min(255, current_g) | |
current_b = min(255, current_b) | |
node_color = f'#{current_r:02x}{current_g:02x}{current_b:02x}' | |
font_color = 'black' | |
row = i // events_per_row | |
col = i % events_per_row | |
if row % 2 == 1: | |
visual_col = events_per_row - 1 - col | |
else: | |
visual_col = col | |
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', | |
pos=f"{visual_col * 4.5},{-row * 3}!" | |
) | |
for i in range(len(events) - 1): | |
current_event_id = events[i].get('id', f'event_{i}') | |
next_event_id = events[i + 1].get('id', f'event_{i + 1}') | |
dot.edge( | |
current_event_id, | |
next_event_id, | |
color='#4a4a4a', | |
arrowsize='0.8', | |
penwidth='2' | |
) | |
dot.engine = 'neato' | |
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)}" |