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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.
# 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 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': 'TB', # Top-to-Bottom
# 'splines': 'ortho', # Straight lines with 90-degree bends
# 'bgcolor': 'white', # White background
# 'pad': '0.8', # Padding around the graph
# 'nodesep': '3.0', # Increased spacing between nodes horizontally
# 'ranksep': '2.5' # Increased spacing between ranks vertically
# }
# )
# # base_color = '#19191a'
# 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=base_color,
# 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
# 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'
# 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='#666666',
# 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)}"
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.
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 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': '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='#404040',
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 = 0.08
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)}" |