File size: 11,463 Bytes
8e56712
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
import graphviz
import json
from tempfile import NamedTemporaryFile
import os

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")

        # ํ•œ๊ธ€ ํฐํŠธ ์„ค์ •
        # GDFONTPATH๊ฐ€ ์„ค์ •๋˜์–ด ์žˆ์œผ๋ฉด ํฐํŠธ ํŒŒ์ผ๋ช…(ํ™•์žฅ์ž ์ œ์™ธ) ์‚ฌ์šฉ
        korean_font = 'NanumGothic-Regular'

        dot = graphviz.Digraph(
            name='WBSDiagram',
            graph_attr={
                'rankdir': 'TB',        # Top-to-Bottom hierarchy
                'splines': 'polyline',  # polyline์œผ๋กœ ๋ณ€๊ฒฝ (ortho ๋Œ€์‹ )
                'bgcolor': 'white',     # White background
                'pad': '0.5',           # Padding
                'ranksep': '0.6',       # Adjust vertical separation between ranks
                'nodesep': '0.5',       # Adjust horizontal separation between nodes
                'fontname': korean_font,  # ๊ทธ๋ž˜ํ”„ ์ „์ฒด ํ•œ๊ธ€ ํฐํŠธ
                'charset': 'UTF-8'      # UTF-8 ์ธ์ฝ”๋”ฉ
            },
            node_attr={
                'fontname': korean_font  # ๋ชจ๋“  ๋…ธ๋“œ์˜ ๊ธฐ๋ณธ ํฐํŠธ
            },
            edge_attr={
                'fontname': korean_font  # ๋ชจ๋“  ์—ฃ์ง€์˜ ๊ธฐ๋ณธ ํฐํŠธ
            }
        )
        
        base_color = '#19191a' # Hardcoded base color
        
        # ID ์ •๊ทœํ™” ํ•จ์ˆ˜ - ํ•œ๊ธ€ ID๋ฅผ ์•ˆ์ „ํ•œ ํ˜•ํƒœ๋กœ ๋ณ€ํ™˜
        def normalize_id(id_str):
            """๋…ธ๋“œ ID๋ฅผ ์•ˆ์ „ํ•œ ํ˜•ํƒœ๋กœ ๋ณ€ํ™˜"""
            import re
            # ์˜๋ฌธ, ์ˆซ์ž, ์–ธ๋”์Šค์ฝ”์–ด๋งŒ ํ—ˆ์šฉ
            safe_id = re.sub(r'[^a-zA-Z0-9_]', '_', str(id_str))
            # ์ˆซ์ž๋กœ ์‹œ์ž‘ํ•˜๋ฉด 'n_' ์ ‘๋‘์‚ฌ ์ถ”๊ฐ€
            if safe_id and safe_id[0].isdigit():
                safe_id = 'n_' + safe_id
            # ๋นˆ ๋ฌธ์ž์—ด์ด๋ฉด ๊ธฐ๋ณธ๊ฐ’
            if not safe_id:
                safe_id = 'node_' + str(hash(id_str))
            return safe_id

        # Project Title node (main node)
        dot.node(
            'project_root',
            data['project_title'],
            shape='box',
            style='filled,rounded',
            fillcolor=base_color,
            fontcolor='white',
            fontsize='18',
            fontname=korean_font  # ํ•œ๊ธ€ ํฐํŠธ ์ถ”๊ฐ€
        )

        # 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}")
                
                # ID ์ •๊ทœํ™”
                safe_task_id = normalize_id(task_id)

                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(
                    safe_task_id,
                    task_label,
                    shape='box',
                    style='filled,rounded',
                    fillcolor=node_fill_color,
                    fontcolor=node_font_color,
                    fontsize=str(font_size),
                    fontname=korean_font  # ํ•œ๊ธ€ ํฐํŠธ ์ถ”๊ฐ€
                )
                dot.edge(parent_id, safe_task_id, color='#4a4a4a', arrowhead='none', fontname=korean_font)

                # 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(safe_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}")
            
            # ID ์ •๊ทœํ™”
            safe_phase_id = normalize_id(phase_id)

            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(
                safe_phase_id,
                phase_label,
                shape='box',
                style='filled,rounded',
                fillcolor=phase_fill_color,
                fontcolor=phase_font_color,
                fontsize=str(font_size_phase),
                fontname=korean_font  # ํ•œ๊ธ€ ํฐํŠธ ์ถ”๊ฐ€
            )
            dot.edge('project_root', safe_phase_id, color='#4a4a4a', arrowhead='none', fontname=korean_font)

            # Start recursion for tasks under this phase
            if 'tasks' in phase and isinstance(phase['tasks'], list):
                _add_wbs_nodes_recursive(safe_phase_id, phase['tasks'], phase_depth + 1)

        # ๋ Œ๋”๋ง
        try:
            with NamedTemporaryFile(delete=False, suffix='.gv', prefix='wbs_') as tmp:
                # ํŒŒ์ผ ์ด๋ฆ„์—์„œ .gv ํ™•์žฅ์ž ์ œ๊ฑฐ
                output_filename = tmp.name[:-3]  # '.gv' ์ œ๊ฑฐ
                output_path = dot.render(output_filename, format=output_format, cleanup=True)
                return output_path
        except Exception as render_error:
            # ๋ Œ๋”๋ง ์‹คํŒจ ์‹œ ๊ฐ„๋‹จํ•œ ์—๋Ÿฌ ๋ฉ”์‹œ์ง€
            return f"Error: Failed to render diagram - {str(render_error).split(';')[0]}"

    except json.JSONDecodeError as e:
        return "Error: Invalid JSON format"
    except Exception as e:
        # ์—๋Ÿฌ ๋ฉ”์‹œ์ง€๋ฅผ ๊ฐ„๋‹จํ•˜๊ฒŒ ์œ ์ง€
        error_msg = str(e).split('\n')[0]  # ์ฒซ ์ค„๋งŒ ์‚ฌ์šฉ
        if len(error_msg) > 100:
            error_msg = error_msg[:100] + "..."
        return f"Error: {error_msg}"