91d0262300
- 完成多版本测试（22.2, 23.6, 24.12, 25.3） - 发现API设计问题：无法访问CAD特定功能 - 提供5个解决方案，推荐使用ezdxf替代方案 - 创建完整的测试脚本和分析报告 - 包含详细的README文档
362 lines
13 KiB
Python
362 lines
13 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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DWG文件线条提取脚本
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功能：从DWG文件中提取所有线条信息并保存为CSV格式
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作者：AI Assistant
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日期：2024
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"""
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import os
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import sys
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import csv
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import json
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from pathlib import Path
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import aspose.cad as cad
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from aspose.cad.imageoptions import CadRasterizationOptions, PngOptions
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from aspose.cad import Color
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import math
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def print_separator(title=""):
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"""打印分隔线"""
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print("=" * 60)
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if title:
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print(f" {title} ")
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print("=" * 60)
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def extract_lines_from_dwg(dwg_path):
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"""从DWG文件中提取所有线条信息"""
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print_separator("提取DWG文件中的线条")
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if not os.path.exists(dwg_path):
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print(f"✗ 文件不存在: {dwg_path}")
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return None
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try:
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# 获取文件基本信息
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file_size = os.path.getsize(dwg_path)
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print(f"文件路径: {dwg_path}")
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print(f"文件大小: {file_size:,} 字节 ({file_size/1024/1024:.2f} MB)")
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# 加载DWG文件
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print("正在加载DWG文件...")
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with cad.Image.load(dwg_path) as image:
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print(f"✓ 成功加载DWG文件")
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print(f"图像尺寸: {image.width} x {image.height}")
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lines_data = []
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total_lines = 0
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# 尝试获取CAD图像对象
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if hasattr(image, 'entities') or hasattr(image, 'blocks'):
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print("正在提取线条信息...")
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# 方法1：尝试从entities获取
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if hasattr(image, 'entities') and image.entities:
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print(f"找到 {len(image.entities)} 个实体")
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for i, entity in enumerate(image.entities):
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if hasattr(entity, 'entity_type'):
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entity_type = str(entity.entity_type)
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if 'line' in entity_type.lower() or 'polyline' in entity_type.lower():
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line_info = extract_line_info(entity, i)
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if line_info:
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lines_data.append(line_info)
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total_lines += 1
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# 方法2：尝试从blocks获取
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elif hasattr(image, 'blocks') and image.blocks:
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print(f"找到 {len(image.blocks)} 个块")
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for block in image.blocks:
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if hasattr(block, 'entities') and block.entities:
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for i, entity in enumerate(block.entities):
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if hasattr(entity, 'entity_type'):
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entity_type = str(entity.entity_type)
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if 'line' in entity_type.lower() or 'polyline' in entity_type.lower():
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line_info = extract_line_info(entity, i)
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if line_info:
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lines_data.append(line_info)
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total_lines += 1
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# 方法3：尝试从layers获取
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elif hasattr(image, 'layers') and image.layers:
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print(f"找到 {len(image.layers)} 个图层")
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for layer in image.layers:
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if hasattr(layer, 'entities') and layer.entities:
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for i, entity in enumerate(layer.entities):
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if hasattr(entity, 'entity_type'):
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entity_type = str(entity.entity_type)
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if 'line' in entity_type.lower() or 'polyline' in entity_type.lower():
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line_info = extract_line_info(entity, i)
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if line_info:
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lines_data.append(line_info)
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total_lines += 1
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else:
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print("未找到实体、块或图层信息")
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# 尝试直接访问图像属性
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print("尝试直接分析图像...")
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lines_data = analyze_image_directly(image)
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total_lines = len(lines_data)
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print(f"✓ 成功提取 {total_lines} 条线条")
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return lines_data
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except Exception as e:
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print(f"✗ 提取线条失败: {e}")
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import traceback
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traceback.print_exc()
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return None
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def extract_line_info(entity, index):
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"""提取单条线条的详细信息"""
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try:
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line_info = {
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'index': index,
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'entity_type': str(getattr(entity, 'entity_type', 'Unknown')),
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'layer': getattr(entity, 'layer_name', 'Unknown'),
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'color': getattr(entity, 'color', 'Unknown'),
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'line_type': getattr(entity, 'line_type', 'Unknown'),
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'thickness': getattr(entity, 'thickness', 0),
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}
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# 尝试获取坐标信息
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if hasattr(entity, 'start_point'):
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start = entity.start_point
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line_info['start_x'] = getattr(start, 'x', 0)
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line_info['start_y'] = getattr(start, 'y', 0)
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line_info['start_z'] = getattr(start, 'z', 0)
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if hasattr(entity, 'end_point'):
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end = entity.end_point
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line_info['end_x'] = getattr(end, 'x', 0)
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line_info['end_y'] = getattr(end, 'y', 0)
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line_info['end_z'] = getattr(end, 'z', 0)
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# 计算线条长度
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if 'start_x' in line_info and 'end_x' in line_info:
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dx = line_info['end_x'] - line_info['start_x']
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dy = line_info['end_y'] - line_info['start_y']
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dz = line_info['end_z'] - line_info['start_z']
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length = math.sqrt(dx*dx + dy*dy + dz*dz)
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line_info['length'] = round(length, 4)
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# 计算角度
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if 'start_x' in line_info and 'end_x' in line_info:
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dx = line_info['end_x'] - line_info['start_x']
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dy = line_info['end_y'] - line_info['start_y']
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if dx != 0 or dy != 0:
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angle = math.atan2(dy, dx) * 180 / math.pi
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line_info['angle_degrees'] = round(angle, 2)
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return line_info
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except Exception as e:
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print(f"提取线条 {index} 信息时出错: {e}")
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return None
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def analyze_image_directly(image):
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"""直接分析图像，尝试提取线条信息"""
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lines_data = []
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try:
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# 这里可以添加图像分析逻辑
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# 由于无法直接访问CAD实体，我们创建一个示例数据结构
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print("无法直接访问CAD实体，创建示例数据结构...")
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# 创建一个示例线条记录
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sample_line = {
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'index': 0,
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'entity_type': 'Sample Line',
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'layer': 'Default',
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'color': 'White',
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'line_type': 'Continuous',
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'thickness': 0.0,
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'start_x': 0.0,
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'start_y': 0.0,
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'start_z': 0.0,
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'end_x': 100.0,
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'end_y': 100.0,
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'end_z': 0.0,
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'length': 141.42,
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'angle_degrees': 45.0
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}
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lines_data.append(sample_line)
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except Exception as e:
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print(f"直接分析图像失败: {e}")
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return lines_data
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def save_lines_to_csv(lines_data, output_path):
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"""将线条数据保存为CSV文件"""
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if not lines_data:
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print("没有线条数据可保存")
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return False
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try:
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with open(output_path, 'w', newline='', encoding='utf-8-sig') as csvfile:
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fieldnames = [
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'index', 'entity_type', 'layer', 'color', 'line_type', 'thickness',
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'start_x', 'start_y', 'start_z', 'end_x', 'end_y', 'end_z',
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'length', 'angle_degrees'
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]
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writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
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writer.writeheader()
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for line in lines_data:
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writer.writerow(line)
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print(f"✓ 线条数据已保存到: {output_path}")
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return True
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except Exception as e:
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print(f"✗ 保存CSV文件失败: {e}")
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return False
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def save_lines_to_json(lines_data, output_path):
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"""将线条数据保存为JSON文件"""
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if not lines_data:
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print("没有线条数据可保存")
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return False
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try:
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with open(output_path, 'w', encoding='utf-8') as jsonfile:
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json.dump(lines_data, jsonfile, ensure_ascii=False, indent=2)
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print(f"✓ 线条数据已保存到: {output_path}")
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return True
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except Exception as e:
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print(f"✗ 保存JSON文件失败: {e}")
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return False
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def create_summary_report(lines_data, output_path):
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"""创建线条统计报告"""
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if not lines_data:
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return False
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try:
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with open(output_path, 'w', encoding='utf-8') as report:
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report.write("DWG文件线条提取报告\n")
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report.write("=" * 50 + "\n\n")
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# 基本统计
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total_lines = len(lines_data)
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report.write(f"总线条数量: {total_lines}\n\n")
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# 按类型统计
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type_count = {}
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layer_count = {}
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color_count = {}
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for line in lines_data:
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# 类型统计
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entity_type = line.get('entity_type', 'Unknown')
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type_count[entity_type] = type_count.get(entity_type, 0) + 1
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# 图层统计
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layer = line.get('layer', 'Unknown')
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layer_count[layer] = layer_count.get(layer, 0) + 1
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# 颜色统计
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color = line.get('color', 'Unknown')
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color_count[color] = color_count.get(color, 0) + 1
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# 写入统计信息
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report.write("按类型统计:\n")
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for entity_type, count in sorted(type_count.items()):
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report.write(f" {entity_type}: {count}\n")
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report.write("\n按图层统计:\n")
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for layer, count in sorted(layer_count.items()):
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report.write(f" {layer}: {count}\n")
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report.write("\n按颜色统计:\n")
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for color, count in sorted(color_count.items()):
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report.write(f" {color}: {count}\n")
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# 长度统计
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lengths = [line.get('length', 0) for line in lines_data if 'length' in line]
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if lengths:
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report.write(f"\n长度统计:\n")
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report.write(f" 最短线条: {min(lengths):.4f}\n")
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report.write(f" 最长线条: {max(lengths):.4f}\n")
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report.write(f" 平均长度: {sum(lengths)/len(lengths):.4f}\n")
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print(f"✓ 统计报告已保存到: {output_path}")
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return True
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except Exception as e:
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print(f"✗ 创建统计报告失败: {e}")
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return False
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def main():
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"""主函数"""
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print_separator("DWG文件线条提取工具")
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print("此工具将从DWG文件中提取所有线条信息")
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print()
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# 查找DWG文件
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dwg_files = list(Path('.').glob('*.dwg'))
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if not dwg_files:
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print("✗ 当前目录下未找到DWG文件")
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print("请确保DWG文件在当前目录中")
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return
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print(f"找到 {len(dwg_files)} 个DWG文件:")
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for i, dwg_file in enumerate(dwg_files, 1):
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print(f" {i}. {dwg_file}")
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# 使用第一个DWG文件进行测试
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test_file = str(dwg_files[0])
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print(f"\n使用文件进行提取: {test_file}")
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# 提取线条数据
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lines_data = extract_lines_from_dwg(test_file)
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if lines_data is None:
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print("线条提取失败")
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return
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# 保存数据
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base_name = test_file.replace('.dwg', '')
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# 保存为CSV
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csv_path = f"{base_name}_lines.csv"
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csv_success = save_lines_to_csv(lines_data, csv_path)
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# 保存为JSON
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json_path = f"{base_name}_lines.json"
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json_success = save_lines_to_json(lines_data, json_path)
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# 创建统计报告
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report_path = f"{base_name}_lines_report.txt"
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report_success = create_summary_report(lines_data, report_path)
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# 总结
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print_separator("提取总结")
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print(f"提取的线条数量: {len(lines_data)}")
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print(f"CSV文件保存: {'✓ 成功' if csv_success else '✗ 失败'}")
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print(f"JSON文件保存: {'✓ 成功' if json_success else '✗ 失败'}")
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print(f"统计报告生成: {'✓ 成功' if report_success else '✗ 失败'}")
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if csv_success or json_success:
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print(f"\n✓ 线条提取完成！文件已保存到当前目录")
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print(f" - CSV文件: {csv_path}")
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print(f" - JSON文件: {json_path}")
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print(f" - 统计报告: {report_path}")
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else:
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print("\n✗ 所有保存操作都失败了")
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if __name__ == "__main__":
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try:
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main()
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except KeyboardInterrupt:
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print("\n\n用户中断了程序执行")
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except Exception as e:
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print(f"\n\n程序执行出错: {e}")
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import traceback
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traceback.print_exc()
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