Delete process_flow_generator.py

process_flow_generator.py

@@ -1,207 +0,0 @@
-import graphviz
-import json
-from tempfile import NamedTemporaryFile
-import os
-
-def generate_process_flow_diagram(json_input: str, output_format: str) -> str:
-    """
-    Generates a Process Flow Diagram (Flowchart) from JSON input.
-
-    Args:
-        json_input (str): A JSON string describing the process flow structure.
-                          It must follow the Expected JSON Format Example below.
-
-    Expected JSON Format Example:
-    {
-      "start_node": "Start Inference Request",
-      "nodes": [
-        {
-          "id": "user_input",
-          "label": "Receive User Input (Data)",
-          "type": "io"
-        },
-        {
-          "id": "preprocess_data",
-          "label": "Preprocess Data",
-          "type": "process"
-        },
-        {
-          "id": "validate_data",
-          "label": "Validate Data Format/Type",
-          "type": "decision"
-        },
-        {
-          "id": "data_valid_yes",
-          "label": "Data Valid?",
-          "type": "decision"
-        },
-        {
-          "id": "load_model",
-          "label": "Load AI Model (if not cached)",
-          "type": "process"
-        },
-        {
-          "id": "run_inference",
-          "label": "Run AI Model Inference",
-          "type": "process"
-        },
-        {
-          "id": "postprocess_output",
-          "label": "Postprocess Model Output",
-          "type": "process"
-        },
-        {
-          "id": "send_response",
-          "label": "Send Response to User",
-          "type": "io"
-        },
-        {
-          "id": "log_error",
-          "label": "Log Error & Notify User",
-          "type": "process"
-        },
-        {
-          "id": "end_inference_process",
-          "label": "End Inference Process",
-          "type": "end"
-        }
-      ],
-      "connections": [
-        {"from": "start_node", "to": "user_input", "label": "Request"},
-        {"from": "user_input", "to": "preprocess_data", "label": "Data Received"},
-        {"from": "preprocess_data", "to": "validate_data", "label": "Cleaned"},
-        {"from": "validate_data", "to": "data_valid_yes", "label": "Check"},
-        {"from": "data_valid_yes", "to": "load_model", "label": "Yes"},
-        {"from": "data_valid_yes", "to": "log_error", "label": "No"},
-        {"from": "load_model", "to": "run_inference", "label": "Model Ready"},
-        {"from": "run_inference", "to": "postprocess_output", "label": "Output Generated"},
-        {"from": "postprocess_output", "to": "send_response", "label": "Ready"},
-        {"from": "send_response", "to": "end_inference_process", "label": "Response Sent"},
-        {"from": "log_error", "to": "end_inference_process", "label": "Error Handled"}
-      ]
-    }
-
-    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)
-        
-        # Validate required top-level keys for a flowchart
-        if 'start_node' not in data or 'nodes' not in data or 'connections' not in data:
-            raise ValueError("Missing required fields: 'start_node', 'nodes', or 'connections'")
-
-        # Define specific node shapes for flowchart types
-        node_shapes = {
-            "process": "box",          # Rectangle for processes
-            "decision": "diamond",     # Diamond for decisions
-            "start": "oval",           # Oval for start
-            "end": "oval",             # Oval for end
-            "io": "parallelogram",     # Input/Output
-            "document": "note",        # Document symbol
-            "default": "box"           # Fallback
-        }
-
-        # 한글 폰트 설정
-        # GDFONTPATH가 설정되어 있으면 폰트 파일명(확장자 제외) 사용
-        korean_font = 'NanumGothic-Regular'
-
-        dot = graphviz.Digraph(
-            name='ProcessFlowDiagram',
-            format='png',
-            graph_attr={
-                'rankdir': 'TB',        # Top-to-Bottom flow is common for flowcharts
-                'splines': 'ortho',     # Straight lines with 90-degree bends
-                'bgcolor': 'white',     # White background
-                'pad': '0.5',           # Padding around the graph
-                'nodesep': '0.6',       # Spacing between nodes on same rank
-                'ranksep': '0.8',       # Spacing between ranks
-                'fontname': korean_font,  # 그래프 전체 한글 폰트
-                'charset': 'UTF-8'      # UTF-8 인코딩
-            },
-            node_attr={
-                'fontname': korean_font  # 모든 노드의 기본 폰트
-            },
-            edge_attr={
-                'fontname': korean_font  # 모든 엣지의 기본 폰트
-            }
-        )
-        
-        base_color = '#19191a' # Hardcoded base color
-
-        fill_color_for_nodes = base_color
-        font_color_for_nodes = 'white' if base_color == '#19191a' or base_color.lower() in ['#000000', '#19191a'] else 'black'
-        
-        # Store all nodes by ID for easy lookup
-        all_defined_nodes = {node['id']: node for node in data['nodes']}
-        
-        # Add start node explicitly
-        start_node_id = data['start_node']
-        dot.node(
-            start_node_id,
-            start_node_id, # Label is typically the ID itself for start/end
-            shape=node_shapes['start'],
-            style='filled,rounded',
-            fillcolor='#2196F3', # A distinct blue for Start
-            fontcolor='white',
-            fontsize='14',
-            fontname=korean_font  # 한글 폰트 추가
-        )
-
-        # Add all other nodes (process, decision, etc.)
-        for node_id, node_info in all_defined_nodes.items():
-            if node_id == start_node_id: # Skip if it's the start node, already added
-                continue
-
-            node_type = node_info.get("type", "default")
-            shape = node_shapes.get(node_type, "box")
-
-            node_label = node_info['label']
-
-            # Use distinct color for end node if it exists
-            if node_type == 'end':
-                 dot.node(
-                    node_id,
-                    node_label,
-                    shape=shape,
-                    style='filled,rounded',
-                    fillcolor='#F44336', # A distinct red for End
-                    fontcolor='white',
-                    fontsize='14',
-                    fontname=korean_font  # 한글 폰트 추가
-                )
-            else: # Regular process, decision, etc. nodes use the selected base color
-                dot.node(
-                    node_id,
-                    node_label,
-                    shape=shape,
-                    style='filled,rounded',
-                    fillcolor=fill_color_for_nodes, 
-                    fontcolor=font_color_for_nodes,
-                    fontsize='14',
-                    fontname=korean_font  # 한글 폰트 추가
-                )
-
-        # Add connections (edges)
-        for connection in data['connections']:
-            dot.edge(
-                connection['from'],
-                connection['to'],
-                label=connection.get('label', ''),
-                color='#4a4a4a', # Dark gray for lines
-                fontcolor='#4a4a4a',
-                fontsize='10',
-                fontname=korean_font  # 한글 폰트 추가
-            )
-        
-        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)}"