import oss2 import os from tqdm import tqdm import os from pathlib import Path import numpy as np import os import argparse import open3d as o3d def custom_mesh_transform(vertices, transform_matrix): """ 手动实现网格变换：对每个顶点应用齐次变换矩阵 参数: vertices: 网格顶点数组 (N, 3) transform_matrix: 4x4 齐次变换矩阵 返回: 变换后的顶点数组 (N, 3) """ # 1. 顶点转齐次坐标 (N, 3) → (N, 4) homogeneous_vertices = np.hstack((vertices, np.ones((vertices.shape[0], 1)))) # 2. 应用变换矩阵：矩阵乘法 (4x4) * (4xN) → (4xN) transformed_homogeneous = transform_matrix @ homogeneous_vertices.T # 3. 转回非齐次坐标 (3xN) → (N, 3) transformed_vertices = transformed_homogeneous[:3, :].T return transformed_vertices class DataTransfer: ''' 数据传输类 ''' def __init__(self, local_path: str, oss_path: str, oss_client: oss2.Bucket): ''' local_path: 本地输出路径 oss_path: oss路径 oss_client: oss客户端 ''' self.local_path = local_path self.oss_path = oss_path.lstrip('/') self.oss_client = oss_client order_id: str pid: str model_height: str def download_data_rename_json(self, json_model_info): """ 从 OSS 下载数据到本地，保持原有目录结构 """ # 列出所有对象 objects = [] prefix = self.oss_path.lstrip('/') # 移除开头的 '/' 以匹配 OSS 格式 for obj in oss2.ObjectIterator(self.oss_client, prefix=prefix): if obj.key != prefix: # 跳过目录本身 objects.append(obj.key) # 下载所有文件，添加进度条 for obj_key in tqdm(objects, desc="下载进度"): if obj_key.endswith('/'): continue if "printId" in obj_key: continue # 计算相对路径 rel_path = obj_key[len(prefix):].lstrip('/') file_dir, file_name = os.path.split(rel_path) file_base, file_ext = os.path.splitext(file_name) # 根据文件后缀名进行重命名 if file_ext.lower() in ['.mtl', '.jpg', '.jpeg', '.png']: # 对于.mtl和图片文件，在原名前加order_id new_file_name = f"{json_model_info.order_id}_{file_name}" # new_file_name = file_name elif file_ext.lower() == '.obj': # 对于.obj文件，完全重命名 new_file_name = f"{json_model_info.obj_name}" else: # 其他文件类型保持原名 new_file_name = file_name print("new_file_name=", new_file_name) # 构建新的相对路径 if file_dir: # 如果有子目录 new_rel_path = os.path.join(file_dir, new_file_name) else: new_rel_path = new_file_name # 构建本地完整路径 local_path = os.path.join(self.local_path, new_rel_path) # 创建必要的目录 os.makedirs(os.path.dirname(local_path), exist_ok=True) # 下载文件 self.oss_client.get_object_to_file(obj_key, local_path) if file_ext == '.obj': # 10MB以上 try: # 使用临时文件避免内存问题 [8](@ref) temp_path = local_path + '.tmp' with open(local_path, 'r', encoding='utf-8') as f_in, \ open(temp_path, 'w', encoding='utf-8') as f_out: mtllib_modified = False for line in f_in: if not mtllib_modified and line.strip().startswith('mtllib '): parts = line.split(' ', 1) if len(parts) > 1: old_mtl_name = parts[1].strip() new_mtl_name = f"{json_model_info.order_id}_{old_mtl_name}" f_out.write(f"mtllib {new_mtl_name}\n") mtllib_modified = True continue f_out.write(line) os.replace(temp_path, local_path) # 原子性替换 except IOError as e: print(f"处理大文件 {local_path} 时出错: {e}") if os.path.exists(temp_path): os.remove(temp_path) # 优化后的.obj文件处理逻辑 if file_ext == '.mtl': try: # 使用更高效的文件读取方式 [6,8](@ref) with open(local_path, 'r', encoding='utf-8') as f: content = f.read() # 使用字符串方法直接查找和替换，避免不必要的循环 [9](@ref) lines = content.split('\n') mtllib_modified = False for i, line in enumerate(lines): stripped_line = line.strip() if not mtllib_modified and stripped_line.startswith('map_Kd '): # 更高效的分割方式 [9](@ref) parts = line.split(' ', 1) if len(parts) > 1: old_name = parts[1].strip() new_name = f"{json_model_info.order_id}_{old_name}" lines[i] = f"map_Kd {new_name}" mtllib_modified = True print(f"已更新材质库引用: {old_name} -> {new_name}") break # 找到第一个后立即退出 # 批量写入，减少I/O操作 [6](@ref) with open(local_path, 'w', encoding='utf-8') as f: f.write('\n'.join(lines)) except IOError as e: print(f"处理文件 {local_path} 时出错: {e}") except UnicodeDecodeError as e: print(f"文件编码错误 {local_path}: {e}") print(f"下载文件: {obj_key} -> {local_path}") import requests import json import shutil def get_api(url): try: response = requests.get(url) response.raise_for_status() # 检查请求是否成功 response = json.loads(response.text) if response.get("code") != 1000: raise Exception(f"Error fetching URL {url}: {response.get('message')}") else: return response except requests.exceptions.RequestException as e: raise Exception(f"Error fetching URL {url}: {e}") from dataclasses import dataclass @dataclass class JSONModelInfo: obj_name: str order_id: str pid: str model_height: str def read_pids_from_json(pid_file): """从文件读取所有PID""" json_path = pid_file """ 加载JSON文件，读取所有模型信息，应用变换后返回模型列表 """ # 检查JSON文件是否存在 if not os.path.exists(json_path): print(f"错误: JSON文件不存在 - {json_path}") return [], {}, '' # 检查是否是文件而不是目录 if not os.path.isfile(json_path): print(f"错误: 路径是目录而不是文件 - {json_path}") return [], {}, '' # 读取JSON文件 try: with open(json_path, 'r', encoding='utf-8') as f: data = json.load(f) except Exception as e: print(f"读取JSON文件失败: {e}") return [], {}, '' list_model_info = [] summary = data.get('summary') print("summary=", summary) # 安全获取 selected_machine if isinstance(summary, dict): selected_machine = summary.get('selected_machine', '') else: # 如果 summary 不是字典，尝试从根级别获取 selected_machine = data.get('selected_machine', '') print("selected_machine=", selected_machine) # 处理每个模型 for model in data.get('models', []): obj_name = model.get('file_name', '') parts = obj_name.split('_') order_id = parts[0] pid = parts[1] model_height = parts[3] model_info = JSONModelInfo( obj_name=obj_name, order_id=order_id, pid=pid, model_height=model_height ) list_model_info.append(model_info) return list_model_info, data, selected_machine def download_data_by_json(model_info, workdir, oss_client ): try: pid = model_info.pid model_height = model_info.model_height # target_dir = f"{workdir}/{pid}_image" target_dir = f"{workdir}" url = f"https://mp.api.suwa3d.com/api/order/getOssSuffixByOrderId?order_id={model_info.order_id}" res = requests.get(url) data = res.json()["data"] # print("datas=",data) data = data.replace("/init_obj", "") print("target_dir=", target_dir) download_textures = DataTransfer(target_dir, f"objs/download/print/{pid}/{data}/{model_height}/", oss_client) download_textures.download_data_rename_json(model_info) # 下载后检查目标文件夹是否为空 if os.path.exists(target_dir) and not os.listdir(target_dir): shutil.rmtree(target_dir) print(f"下载后检查发现目标文件夹为空，已删除: {target_dir}") except Exception as e: print(f"卡通图片下载失败: {pid}, 错误: {str(e)}") pass def get_oss_client(cfg_path): # with open(os.path.expanduser(cfg_path), "r") as config: # cfg = yaml.safe_load(config) AccessKeyId_down = 'LTAI5tSReWm8hz7dSYxxth8f' AccessKeySecret_down = '8ywTDF9upPAtvgXtLKALY2iMYHIxdS' Endpoint_down = 'oss-cn-shanghai.aliyuncs.com' Bucket_down = 'suwa3d-securedata' oss_client = oss2.Bucket( oss2.Auth(AccessKeyId_down, AccessKeySecret_down), Endpoint_down, Bucket_down ) return oss_client def download_datas_by_json(pid_file, workdir, oss_config): oss_client = get_oss_client(oss_config) # json_path = os.path.join(workdir, "3DPrintLayout.json") json_path = pid_file # 读取所有PID list_model_info, data, selected_machine = read_pids_from_json(json_path) print(f"从文件读取了 {len(list_model_info)} 个PID") need_transform = True if selected_machine=="大机型" : need_transform = False # 批量下载 for model_info in list_model_info: print(f"开始下载PID: {model_info}") download_data_by_json(model_info, workdir, oss_client,) return data, need_transform def download_transform_save_by_json(pid_file, workdir, oss_config): layout_data, need_transform = download_datas_by_json(pid_file, workdir, oss_config) original_obj_pid_dir = workdir cache_type_setting_dir = os.path.join(workdir, "arrange") Path(cache_type_setting_dir).mkdir(exist_ok=True) print(f"original_obj_pid_dir={original_obj_pid_dir}, cache_type_setting_dir={cache_type_setting_dir}") if need_transform: transform_save(layout_data, original_obj_pid_dir, cache_type_setting_dir) def transform_save(layout_data, original_obj_pid_dir, cache_type_setting_dir): meshes = [] # 小打印机380*345，需要偏移-380,-345 need_offset = True for model in layout_data["models"]: transform = model.get('transform', {}) homo_matrix = transform["homo_matrix"] # 获取存储的列表 reconstructed_matrix = np.array(homo_matrix, dtype=np.float64) obj_name = model.get('file_name', '') obj_path = os.path.join(original_obj_pid_dir, obj_name) # 加载网格 try: mesh = o3d.io.read_triangle_mesh(obj_path, enable_post_processing=True) if not mesh.has_vertices(): print(f"警告: 网格无有效顶点 - {obj_path}") continue except Exception as e: print(f"加载模型失败: {obj_path} - {e}") continue original_vertices = np.asarray(mesh.vertices) transformed_vertices = custom_mesh_transform(original_vertices, reconstructed_matrix) # 如果 need_offset 为 True，应用额外的偏移 if need_offset: # 应用偏移 (-380, -345, 0) offset = np.array([-380, -345, 0]) transformed_vertices += offset print(f"已对模型 {obj_name} 应用偏移: {offset}") mesh.vertices = o3d.utility.Vector3dVector(transformed_vertices) meshes.append(mesh) # obj_path_arrange = os.path.join(original_obj_pid_dir, "arrange") obj_path_arrange = cache_type_setting_dir if not os.path.exists(obj_path_arrange): os.mkdir(obj_path_arrange) obj_path_arrange_obj = os.path.join(obj_path_arrange, obj_name) print("obj_path_arrange_obj", obj_path_arrange_obj) mesh.compute_vertex_normals() o3d.io.write_triangle_mesh(obj_path_arrange_obj, mesh,write_triangle_uvs=True) if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--pid_file", type=str, required=True, help="批次号, 也是json文件名") parser.add_argument("--workdir", type=str, required=True, help="本代码文件所在的目录") parser.add_argument("--oss_config", type=str, default="") args = parser.parse_args() download_transform_save_by_json(args.pid_file, args.workdir, args.oss_config)