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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_wbs_diagram(json_input: str, output_format: str) -> str:
# """
# Generates a Work Breakdown Structure (WBS) Diagram from JSON input.
# Args:
# json_input (str): A JSON string describing the WBS structure.
# It must follow the Expected JSON Format Example below.
# Expected JSON Format Example:
# {
# "project_title": "AI Model Development Project",
# "phases": [
# {
# "id": "phase_prep",
# "label": "Preparation",
# "tasks": [
# {
# "id": "task_1_1_vision",
# "label": "Identify Vision",
# "subtasks": [
# {
# "id": "subtask_1_1_1_design_staff",
# "label": "Design & Staffing",
# "sub_subtasks": [
# {
# "id": "ss_task_1_1_1_1_env_setup",
# "label": "Environment Setup",
# "sub_sub_subtasks": [
# {
# "id": "sss_task_1_1_1_1_1_lib_install",
# "label": "Install Libraries",
# "final_level_tasks": [
# {"id": "ft_1_1_1_1_1_1_data_access", "label": "Grant Data Access"}
# ]
# }
# ]
# }
# ]
# }
# ]
# }
# ]
# },
# {
# "id": "phase_plan",
# "label": "Planning",
# "tasks": [
# {
# "id": "task_2_1_cost_analysis",
# "label": "Cost Analysis",
# "subtasks": [
# {
# "id": "subtask_2_1_1_benefit_analysis",
# "label": "Benefit Analysis",
# "sub_subtasks": [
# {
# "id": "ss_task_2_1_1_1_risk_assess",
# "label": "AI Risk Assessment",
# "sub_sub_subtasks": [
# {
# "id": "sss_task_2_1_1_1_1_model_selection",
# "label": "Model Selection",
# "final_level_tasks": [
# {"id": "ft_2_1_1_1_1_1_data_strategy", "label": "Data Strategy"}
# ]
# }
# ]
# }
# ]
# }
# ]
# }
# ]
# },
# {
# "id": "phase_dev",
# "label": "Development",
# "tasks": [
# {
# "id": "task_3_1_change_mgmt",
# "label": "Data Preprocessing",
# "subtasks": [
# {
# "id": "subtask_3_1_1_implementation",
# "label": "Feature Engineering",
# "sub_subtasks": [
# {
# "id": "ss_task_3_1_1_1_beta_testing",
# "label": "Model Training",
# "sub_sub_subtasks": [
# {
# "id": "sss_task_3_1_1_1_1_other_task",
# "label": "Model Evaluation",
# "final_level_tasks": [
# {"id": "ft_3_1_1_1_1_1_hyperparam_tune", "label": "Hyperparameter Tuning"}
# ]
# }
# ]
# }
# ]
# }
# ]
# }
# ]
# }
# ]
# }
# 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 'project_title' not in data or 'phases' not in data:
# raise ValueError("Missing required fields: project_title or phases")
# dot = graphviz.Digraph(
# name='WBSDiagram',
# format='png',
# graph_attr={
# 'rankdir': 'TB', # Top-to-Bottom hierarchy
# 'splines': 'ortho', # Straight lines
# 'bgcolor': 'white', # White background
# 'pad': '0.5', # Padding
# 'ranksep': '0.6', # Adjust vertical separation between ranks
# 'nodesep': '0.5' # Adjust horizontal separation between nodes
# }
# )
# base_color = '#19191a'
# # Main node
# dot.node(
# 'project_root',
# data['project_title'],
# shape='box',
# style='filled,rounded',
# fillcolor=base_color,
# fontcolor='white',
# fontsize='18'
# )
# # Helper for color and font based on depth for WBS
# def get_gradient_color(depth, base_hex_color, lightening_factor=0.12):
# base_r = int(base_hex_color[1:3], 16)
# base_g = int(base_hex_color[3:5], 16)
# base_b = int(base_hex_color[5:7], 16)
# current_r = base_r + int((255 - base_r) * depth * lightening_factor)
# current_g = base_g + int((255 - base_g) * depth * lightening_factor)
# current_b = base_b + int((255 - base_b) * depth * lightening_factor)
# return f'#{min(255, current_r):02x}{min(255, current_g):02x}{min(255, current_b):02x}'
# def get_font_color_for_background(depth, base_hex_color, lightening_factor=0.12):
# base_r = int(base_hex_color[1:3], 16)
# base_g = int(base_hex_color[3:5], 16)
# base_b = int(base_hex_color[5:7], 16)
# current_r = base_r + (255 - base_r) * depth * lightening_factor
# current_g = base_g + (255 - base_g) * depth * lightening_factor
# current_b = base_b + (255 - base_b) * depth * lightening_factor
# luminance = (0.2126 * current_r + 0.7152 * current_g + 0.0722 * current_b) / 255
# return 'white' if luminance < 0.5 else 'black'
# def _add_wbs_nodes_recursive(parent_id, current_level_tasks, current_depth):
# for task_data in current_level_tasks:
# task_id = task_data.get('id')
# task_label = task_data.get('label')
# if not all([task_id, task_label]):
# raise ValueError(f"Invalid task data at depth {current_depth}: {task_data}")
# node_fill_color = get_gradient_color(current_depth, base_color)
# node_font_color = get_font_color_for_background(current_depth, base_color)
# font_size = max(9, 14 - (current_depth * 2))
# dot.node(
# task_id,
# task_label,
# shape='box',
# style='filled,rounded',
# fillcolor=node_fill_color,
# fontcolor=node_font_color,
# fontsize=str(font_size)
# )
# dot.edge(parent_id, task_id, color='#4a4a4a', arrowhead='none')
# # Recursively call for next level of tasks (subtasks, sub_subtasks, etc.)
# # This handles arbitrary nested keys like 'subtasks', 'sub_subtasks', 'final_level_tasks'
# next_level_keys = ['tasks', 'subtasks', 'sub_subtasks', 'sub_sub_subtasks', 'final_level_tasks']
# for key_idx, key in enumerate(next_level_keys):
# if key in task_data and isinstance(task_data[key], list):
# _add_wbs_nodes_recursive(task_id, task_data[key], current_depth + 1)
# break # Only process the first found sub-level key
# # Process phases (level 1 from project_root)
# phase_depth = 1
# for phase in data['phases']:
# phase_id = phase.get('id')
# phase_label = phase.get('label')
# if not all([phase_id, phase_label]):
# raise ValueError(f"Invalid phase data: {phase}")
# phase_fill_color = get_gradient_color(phase_depth, base_color)
# phase_font_color = get_font_color_for_background(phase_depth, base_color)
# font_size_phase = max(9, 14 - (phase_depth * 2))
# dot.node(
# phase_id,
# phase_label,
# shape='box',
# style='filled,rounded',
# fillcolor=phase_fill_color,
# fontcolor=phase_font_color,
# fontsize=str(font_size_phase)
# )
# dot.edge('project_root', phase_id, color='#4a4a4a', arrowhead='none')
# # Start recursion for tasks under this phase
# if 'tasks' in phase and isinstance(phase['tasks'], list):
# _add_wbs_nodes_recursive(phase_id, phase['tasks'], phase_depth + 1)
# 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
from graph_generator_utils import add_nodes_and_edges
def generate_wbs_diagram(json_input: str, output_format: str) -> str:
"""
Generates a Work Breakdown Structure (WBS) Diagram from JSON input.
Args:
json_input (str): A JSON string describing the WBS structure.
It must follow the Expected JSON Format Example below.
Expected JSON Format Example:
{
"project_title": "AI Model Development Project",
"phases": [
{
"id": "phase_prep",
"label": "Preparation",
"tasks": [
{
"id": "task_1_1_vision",
"label": "Identify Vision",
"subtasks": [
{
"id": "subtask_1_1_1_design_staff",
"label": "Design & Staffing",
"sub_subtasks": [
{
"id": "ss_task_1_1_1_1_env_setup",
"label": "Environment Setup",
"sub_sub_subtasks": [
{
"id": "sss_task_1_1_1_1_1_lib_install",
"label": "Install Libraries",
"final_level_tasks": [
{"id": "ft_1_1_1_1_1_1_data_access", "label": "Grant Data Access"}
]
}
]
}
]
}
]
}
]
},
{
"id": "phase_plan",
"label": "Planning",
"tasks": [
{
"id": "task_2_1_cost_analysis",
"label": "Cost Analysis",
"subtasks": [
{
"id": "subtask_2_1_1_benefit_analysis",
"label": "Benefit Analysis",
"sub_subtasks": [
{
"id": "ss_task_2_1_1_1_risk_assess",
"label": "AI Risk Assessment",
"sub_sub_subtasks": [
{
"id": "sss_task_2_1_1_1_1_model_selection",
"label": "Model Selection",
"final_level_tasks": [
{"id": "ft_2_1_1_1_1_1_data_strategy", "label": "Data Strategy"}
]
}
]
}
]
}
]
}
]
},
{
"id": "phase_dev",
"label": "Development",
"tasks": [
{
"id": "task_3_1_change_mgmt",
"label": "Data Preprocessing",
"subtasks": [
{
"id": "subtask_3_1_1_implementation",
"label": "Feature Engineering",
"sub_subtasks": [
{
"id": "ss_task_3_1_1_1_beta_testing",
"label": "Model Training",
"sub_sub_subtasks": [
{
"id": "sss_task_3_1_1_1_1_other_task",
"label": "Model Evaluation",
"final_level_tasks": [
{"id": "ft_3_1_1_1_1_1_hyperparam_tune", "label": "Hyperparameter Tuning"}
]
}
]
}
]
}
]
}
]
}
]
}
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 'project_title' not in data or 'phases' not in data:
raise ValueError("Missing required fields: project_title or phases")
dot = graphviz.Digraph(
name='WBSDiagram',
format='png',
graph_attr={
'rankdir': 'TB',
'splines': 'ortho',
'bgcolor': 'white',
'pad': '0.5',
'ranksep': '0.6',
'nodesep': '0.5'
}
)
base_color = '#BEBEBE'
dot.node(
'project_root',
data['project_title'],
shape='box',
style='filled,rounded',
fillcolor=base_color,
fontcolor='black',
fontsize='18'
)
def get_gradient_color(depth, base_hex_color, lightening_factor=0.06):
if not isinstance(base_hex_color, str) or not base_hex_color.startswith('#') or len(base_hex_color) != 7:
base_hex_color = '#BEBEBE'
base_r = int(base_hex_color[1:3], 16)
base_g = int(base_hex_color[3:5], 16)
base_b = int(base_hex_color[5:7], 16)
current_r = base_r + int((255 - base_r) * depth * lightening_factor)
current_g = base_g + int((255 - base_g) * depth * lightening_factor)
current_b = base_b + int((255 - base_b) * depth * lightening_factor)
return f'#{min(255, current_r):02x}{min(255, current_g):02x}{min(255, current_b):02x}'
def get_font_color_for_background(depth, base_hex_color, lightening_factor=0.06):
return 'black'
def _add_wbs_nodes_recursive(parent_id, current_level_tasks, current_depth):
for task_data in current_level_tasks:
task_id = task_data.get('id')
task_label = task_data.get('label')
if not all([task_id, task_label]):
raise ValueError(f"Invalid task data at depth {current_depth}: {task_data}")
node_fill_color = get_gradient_color(current_depth, base_color)
node_font_color = get_font_color_for_background(current_depth, base_color)
font_size = max(9, 14 - (current_depth * 2))
dot.node(
task_id,
task_label,
shape='box',
style='filled,rounded',
fillcolor=node_fill_color,
fontcolor=node_font_color,
fontsize=str(font_size)
)
dot.edge(parent_id, task_id, color='#4a4a4a', arrowhead='none')
next_level_keys = ['tasks', 'subtasks', 'sub_subtasks', 'sub_sub_subtasks', 'final_level_tasks']
for key_idx, key in enumerate(next_level_keys):
if key in task_data and isinstance(task_data[key], list):
_add_wbs_nodes_recursive(task_id, task_data[key], current_depth + 1)
break
phase_depth = 1
for phase in data['phases']:
phase_id = phase.get('id')
phase_label = phase.get('label')
if not all([phase_id, phase_label]):
raise ValueError(f"Invalid phase data: {phase}")
phase_fill_color = get_gradient_color(phase_depth, base_color)
phase_font_color = get_font_color_for_background(phase_depth, base_color)
font_size_phase = max(9, 14 - (phase_depth * 2))
dot.node(
phase_id,
phase_label,
shape='box',
style='filled,rounded',
fillcolor=phase_fill_color,
fontcolor=phase_font_color,
fontsize=str(font_size_phase)
)
dot.edge('project_root', phase_id, color='#4a4a4a', arrowhead='none')
if 'tasks' in phase and isinstance(phase['tasks'], list):
_add_wbs_nodes_recursive(phase_id, phase['tasks'], phase_depth + 1)
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)}" |