代码更新

clound_print.py

@@ -184,7 +184,7 @@ def clear_directory_recursive(dir_path):
             # 如果是文件或符号链接，直接删除
             try:
                 os.unlink(item_path)
-                print(f"已删除: {item_path}")
+                # print(f"已删除: {item_path}")
             except Exception as e:
                 print(f"删除失败 {item_path}: {e}")
         elif os.path.isdir(item_path):
@@ -292,7 +292,7 @@ def process_clound_print(data):
         )
         list_print_model_info.append(batch_model_info)
         
-        print("-" * 40)
+        # print("-" * 40)
 
     workdir = f"{print_data_dir}{pre_batch_id}"
 

compute_print_net.py

@@ -92,7 +92,7 @@ def compute_bbox_all(dict_mesh_obj,is_downsample):
         dict_total_matrix[obj_name] = total_matrix
         dict_pcd_fix[ply_name] = pcd_fix
 
-        print(f"compute_bbox obj_name={obj_name} ply_name={ply_name} time={time.time()-start_time}")
+        # print(f"compute_bbox obj_name={obj_name} ply_name={ply_name} time={time.time()-start_time}")
 
     # dict_mesh_obj.clear()
     # del dict_mesh_obj
@@ -115,13 +115,15 @@ def compute_bbox(mesh_obj, obj_name, is_downsample=True):
         succ, total_matrix, z_max, min_bound, max_bound, ply_name = compute_bbox_net(printId)
         if not succ :
             total_matrix, z_max, min_bound, max_bound, ply_name = compute_bbox_ext(mesh_obj, obj_name, is_downsample)
+            print(f"compute_bbox_net fail {printId}")
         else:
             ply_name = f"{os.path.splitext(obj_name)[0]}={ply_name.split('=')[1]}"
+            print(f"compute_bbox_net succ {printId}")
 
         # print(f"compute_bbox_net printId = {printId}, total_matrix = {total_matrix}, ply_name = {ply_name}")
     else :
         total_matrix, z_max, min_bound, max_bound, ply_name = compute_bbox_ext(mesh_obj, obj_name, is_downsample)
-        # print(f"compute_bbox_ext total_matrix = {total_matrix}, ply_name = {ply_name}")
+        print(f"compute_bbox_ext ply_name = {ply_name}")
 
     transformed_vertices = mesh_transform_by_matrix(np.asarray(mesh_obj_origin.vertices), total_matrix)
 
@@ -154,7 +156,7 @@ def compute_bbox_net(printId):
     try:
         matrix_list = ast.literal_eval(homo_matrix_str)  # 直接转换为二维列表
         reconstructed_matrix = np.array(matrix_list, dtype=float)
-        print("矩阵形状:", reconstructed_matrix.shape)  # 应该是 (4, 4)
+        # print("矩阵形状:", reconstructed_matrix.shape)  # 应该是 (4, 4)
     except (ValueError, SyntaxError) as e:
         print(f"解析错误: {e}")
     
@@ -215,7 +217,7 @@ class Platform:
         
         if self.is_cross_border(x, y, z, model):
 
-            print(f"can_place False 1 cross_border {x}, {y}, {z}, {model}, {self.width}, {self.depth}, {self.height}")
+            # print(f"can_place False 1 cross_border {x}, {y}, {z}, {model}, {self.width}, {self.depth}, {self.height}")
             return False
 
         # 碰撞检测（正确逻辑与间距处理）
@@ -230,7 +232,7 @@ class Platform:
                 y - my - extend_dist_model_y < py and
                 z < pz + pdz and
                 z + mz > pz):
-                print("can_place False 2",False,model,x,y,z,px,pdx,extend_dist_model_x,py,pdy,extend_dist_model_y,my,pz,pdz,pz)
+                # print("can_place False 2",False,model,x,y,z,px,pdx,extend_dist_model_x,py,pdy,extend_dist_model_y,my,pz,pdz,pz)
                 return False
             
         return True
@@ -256,7 +258,7 @@ class Platform:
                 model['position'] = (self.width - extend_dist_border_x_max, self.depth - extend_dist_border_y_max, 0)
                 model['first_line'] = False
 
-            print("model position1", model['name'], model['position'])
+            # print("model position1", model['name'], model['position'])
             self.placed_models.append(model)
             return True
 
@@ -268,7 +270,7 @@ class Platform:
         else:
             px = pre_px - pre_mx - extend_dist_model_x
             model['first_line'] = False
-        print(model['name'], "px", px, pre_px, pre_mx)
+        # print(model['name'], "px", px, pre_px, pre_mx)
         
         reach_limit_x = False
         if self.first_line:
@@ -296,7 +298,7 @@ class Platform:
                             return False
 
                     model['position'] = (px, y, z)
-                    print("model position2", model['name'], model['position'])
+                    # print("model position2", model['name'], model['position'])
                     self.placed_models.append(model)
                     return True
         else:
@@ -314,7 +316,7 @@ class Platform:
                             return False
                         
                     model['position'] = (px, y, z)
-                    print("model position2", model['name'], model['position'])
+                    # print("model position2", model['name'], model['position'])
                     self.placed_models.append(model)
                     return True
                     

config.py

@@ -55,11 +55,12 @@ small_machine_size = [380, 345, 250]
 
 # local_data= {'machine_print_counts': 150, 'machine_type': 'big_machine', 'pre_batch_id': 9910032, 'print_machine_id': 14, 'print_orders': [{'counts': 1, 'layout_z': 35.62070959151145, 'model_weight': 41.862, 'order_id': 917900, 'pid': 376666, 'print_id': 126318}, {'counts': 1, 'layout_z': 31.380497732946978, 'model_weight': 35.158, 'order_id': 917810, 'pid': 376562, 'print_id': 126413}, {'counts': 1, 'layout_z': 26.136854969886777, 'model_weight': 21.403, 'order_id': 917820, 'pid': 376572, 'print_id': 126414}, {'counts': 1, 'layout_z': 37.967177899738104, 'model_weight': 30.48, 'order_id': 917922, 'pid': 376684, 'print_id': 126415}, {'counts': 1, 'layout_z': 20.368887098446734, 'model_weight': 13.097, 'order_id': 918228, 'pid': 377198, 'print_id': 126417}, {'counts': 1, 'layout_z': 21.4227336927951, 'model_weight': 15.859, 'order_id': 917576, 'pid': 376345, 'print_id': 126769}, {'counts': 1, 'layout_z': 27.539947066784066, 'model_weight': 25.185, 'order_id': 917811, 'pid': 376564, 'print_id': 126875}, {'counts': 1, 'layout_z': 31.692723822970393, 'model_weight': 32.796, 'order_id': 917821, 'pid': 376592, 'print_id': 126876}, {'counts': 1, 'layout_z': 20.20031720146163, 'model_weight': 8.664, 'order_id': 917822, 'pid': 376602, 'print_id': 126877}, {'counts': 1, 'layout_z': 22.41680629925537, 'model_weight': 15.206, 'order_id': 917827, 'pid': 376616, 'print_id': 126878}, {'counts': 1, 'layout_z': 25.443981671314514, 'model_weight': 11.965, 'order_id': 917879, 'pid': 376635, 'print_id': 126879}, {'counts': 1, 'layout_z': 31.09222672704002, 'model_weight': 20.318, 'order_id': 917902, 'pid': 376667, 'print_id': 126882}, {'counts': 1, 'layout_z': 30.3317820592175, 'model_weight': 32.964, 'order_id': 917903, 'pid': 376668, 'print_id': 126884}, {'counts': 1, 'layout_z': 28.69639626624317, 'model_weight': 27.751, 'order_id': 917904, 'pid': 376669, 'print_id': 126885}, {'counts': 1, 'layout_z': 28.043180029163203, 'model_weight': 19.866, 'order_id': 917917, 'pid': 376677, 'print_id': 126886}, {'counts': 1, 'layout_z': 28.58783468947201, 'model_weight': 25.505, 'order_id': 918196, 'pid': 377126, 'print_id': 126888}, {'counts': 1, 'layout_z': 43.55871899466554, 'model_weight': 63.512, 'order_id': 918201, 'pid': 377131, 'print_id': 126890}, {'counts': 1, 'layout_z': 32.52479624889478, 'model_weight': 22.943, 'order_id': 918203, 'pid': 377133, 'print_id': 126891}, {'counts': 1, 'layout_z': 33.21834123013511, 'model_weight': 42.163, 'order_id': 918206, 'pid': 377139, 'print_id': 126892}, {'counts': 1, 'layout_z': 27.81674335447885, 'model_weight': 15.455, 'order_id': 918207, 'pid': 377141, 'print_id': 126893}, {'counts': 1, 'layout_z': 29.78203639784899, 'model_weight': 29.696, 'order_id': 918231, 'pid': 377201, 'print_id': 126894}, {'counts': 1, 'layout_z': 23.66875736859606, 'model_weight': 13.39, 'order_id': 915637, 'pid': 373135, 'print_id': 126895}, {'counts': 1, 'layout_z': 29.00408914521088, 'model_weight': 19.553, 'order_id': 918246, 'pid': 377209, 'print_id': 126897}, {'counts': 1, 'layout_z': 24.44397251338635, 'model_weight': 15.424, 'order_id': 918325, 'pid': 376974, 'print_id': 126899}, {'counts': 1, 'layout_z': 31.755406379699707, 'model_weight': 31.131, 'order_id': 918492, 'pid': 377584, 'print_id': 126900}, {'counts': 1, 'layout_z': 38.03699946264237, 'model_weight': 47.412, 'order_id': 918493, 'pid': 377587, 'print_id': 126901}, {'counts': 1, 'layout_z': 43.52919799223749, 'model_weight': 37.842, 'order_id': 918494, 'pid': 377589, 'print_id': 126902}, {'counts': 1, 'layout_z': 25.906302369108843, 'model_weight': 18.64, 'order_id': 918495, 'pid': 377590, 'print_id': 126903}, {'counts': 1, 'layout_z': 36.02611978829816, 'model_weight': 43.814, 'order_id': 918496, 'pid': 377591, 'print_id': 126904}, {'counts': 1, 'layout_z': 26.020689766262052, 'model_weight': 18.513, 'order_id': 918497, 'pid': 377594, 'print_id': 126905}, {'counts': 1, 'layout_z': 23.988078117370605, 'model_weight': 15.753, 'order_id': 918498, 'pid': 377596, 'print_id': 126906}, {'counts': 1, 'layout_z': 27.457814063914604, 'model_weight': 23.507, 'order_id': 918500, 'pid': 377601, 'print_id': 126908}, {'counts': 1, 'layout_z': 29.306090320672993, 'model_weight': 25.043, 'order_id': 918501, 'pid': 377605, 'print_id': 126909}, {'counts': 1, 'layout_z': 29.070231478924583, 'model_weight': 25.598, 'order_id': 918504, 'pid': 377606, 'print_id': 126910}, {'counts': 1, 'layout_z': 24.314504768436095, 'model_weight': 18.68, 'order_id': 918555, 'pid': 377684, 'print_id': 126911}, {'counts': 1, 'layout_z': 37.52979171030315, 'model_weight': 53.541, 'order_id': 918558, 'pid': 377689, 'print_id': 126913}, {'counts': 1, 'layout_z': 26.530791960490333, 'model_weight': 15.082, 'order_id': 918560, 'pid': 377702, 'print_id': 126915}, {'counts': 1, 'layout_z': 23.604568481445312, 'model_weight': 21.614, 'order_id': 918583, 'pid': 377748, 'print_id': 126917}, {'counts': 1, 'layout_z': 27.865868478825355, 'model_weight': 22.6, 'order_id': 918636, 'pid': 37Line truncated
 # local_data= {"machine_print_counts":50, 'machine_type': 'small_machine',"pre_batch_id":991112,"print_machine_id":22,"print_orders":[{"counts":1,"layout_z":3.543965775898459,"model_weight":12.833,"order_id":857420,"pid":268473,"print_id":85240},{"counts":1,"layout_z":7.798861189952786,"model_weight":13.784,"order_id":875986,"pid":305425,"print_id":88136}]}
-local_data= {'machine_print_counts': 130, 'machine_type': 'big_machine', 'pre_batch_id': 9910188, 'print_machine_id': 15, 'print_orders': [{'counts': 1, 'layout_z': 32.65071311811036, 'model_weight': 68.084, 'order_id': 926400, 'pid': 389256, 'print_id': 134168}, {'counts': 1, 'layout_z': 31.780598561603746, 'model_weight': 25.511, 'order_id': 926573, 'pid': 389465, 'print_id': 134170}, {'counts': 1, 'layout_z': 5.202356934547428, 'model_weight': 11.705, 'order_id': 925909, 'pid': 388682, 'print_id': 134178}, {'counts': 1, 'layout_z': 5.1447470188140905, 'model_weight': 12.186, 'order_id': 925910, 'pid': 388683, 'print_id': 134179}, {'counts': 1, 'layout_z': 5.013986945152283, 'model_weight': 11.364, 'order_id': 925932, 'pid': 388707, 'print_id': 134180}, {'counts': 1, 'layout_z': 5.020000934600831, 'model_weight': 11.396, 'order_id': 926770, 'pid': 389842, 'print_id': 134183}, {'counts': 1, 'layout_z': 40.05588230441501, 'model_weight': 60.578, 'order_id': 926776, 'pid': 389895, 'print_id': 134185}, {'counts': 1, 'layout_z': 46.23669371110479, 'model_weight': 56.196, 'order_id': 926778, 'pid': 389918, 'print_id': 134186}, {'counts': 1, 'layout_z': 24.822566986083984, 'model_weight': 31.522, 'order_id': 926268, 'pid': 389067, 'print_id': 134211}, {'counts': 1, 'layout_z': 25.085425667575343, 'model_weight': 31.077, 'order_id': 926267, 'pid': 389066, 'print_id': 134212}, {'counts': 1, 'layout_z': 18.154759649173364, 'model_weight': 6.256, 'order_id': 927059, 'pid': 390269, 'print_id': 134216}, {'counts': 1, 'layout_z': 24.2420189021486, 'model_weight': 14.472, 'order_id': 927065, 'pid': 390275, 'print_id': 134220}, {'counts': 1, 'layout_z': 16.757099114319693, 'model_weight': 5.335, 'order_id': 927078, 'pid': 390299, 'print_id': 134226}, {'counts': 1, 'layout_z': 18.796780948141503, 'model_weight': 7.295, 'order_id': 927079, 'pid': 390300, 'print_id': 134228}, {'counts': 1, 'layout_z': 17.920740666248633, 'model_weight': 7.869, 'order_id': 927082, 'pid': 390303, 'print_id': 134229}, {'counts': 1, 'layout_z': 16.320665859825066, 'model_weight': 4.73, 'order_id': 927081, 'pid': 390302, 'print_id': 134230}, {'counts': 1, 'layout_z': 23.250497020255544, 'model_weight': 15.567, 'order_id': 927100, 'pid': 390331, 'print_id': 134242}, {'counts': 1, 'layout_z': 26.276874511435977, 'model_weight': 19.813, 'order_id': 927103, 'pid': 390334, 'print_id': 134246}, {'counts': 1, 'layout_z': 17.08049576865031, 'model_weight': 5.858, 'order_id': 927111, 'pid': 390342, 'print_id': 134254}, {'counts': 1, 'layout_z': 19.196685578562278, 'model_weight': 6.465, 'order_id': 927117, 'pid': 390347, 'print_id': 134261}, {'counts': 1, 'layout_z': 26.507062216602122, 'model_weight': 14.287, 'order_id': 927116, 'pid': 390346, 'print_id': 134262}, {'counts': 1, 'layout_z': 16.440782827635232, 'model_weight': 5.493, 'order_id': 927118, 'pid': 390348, 'print_id': 134263}, {'counts': 1, 'layout_z': 41.42868301509347, 'model_weight': 68.274, 'order_id': 927122, 'pid': 390354, 'print_id': 134264}, {'counts': 1, 'layout_z': 15.705368176518945, 'model_weight': 4.423, 'order_id': 927119, 'pid': 390349, 'print_id': 134265}, {'counts': 1, 'layout_z': 16.363223697461702, 'model_weight': 5.634, 'order_id': 927120, 'pid': 390351, 'print_id': 134266}, {'counts': 1, 'layout_z': 24.653417686230497, 'model_weight': 17.851, 'order_id': 927121, 'pid': 390353, 'print_id': 134267}, {'counts': 1, 'layout_z': 24.327745611835496, 'model_weight': 28.23, 'order_id': 926040, 'pid': 388832, 'print_id': 134268}, {'counts': 1, 'layout_z': 27.301779030909188, 'model_weight': 23.926, 'order_id': 923281, 'pid': 385001, 'print_id': 134269}, {'counts': 1, 'layout_z': 25.869120288866796, 'model_weight': 32.329, 'order_id': 926077, 'pid': 388864, 'print_id': 134270}, {'counts': 1, 'layout_z': 36.37214874852985, 'model_weight': 65.744, 'order_id': 926086, 'pid': 388873, 'print_id': 134271}, {'counts': 1, 'layout_z': 37.44403689090713, 'model_weight': 80.67, 'order_id': 926097, 'pid': 388884, 'print_id': 134273}, {'counts': 1, 'layout_z': 27.890566642299536, 'model_weight': 22.715, 'order_id': 927127, 'pid': 390372, 'print_id': 134274}, {'counts': 1, 'layout_z': 17.392635113631542, 'model_weight': 5.297, 'order_id': 927128, 'pid': 390373, 'print_id': 134275}, {'counts': 1, 'layout_z': 26.139986312446986, 'model_weight': 15.312, 'order_id': 927129, 'pid': 390375, 'print_id': 134276}, {'counts': 1, 'layout_z': 17.491576609126483, 'model_weight': 6.495, 'order_id': 927130, 'pid': 390376, 'print_id': 134277}, {'counts': 1, 'layout_z': 15.57976295844962, 'model_weight': 5.443, 'order_id': 927131, 'pid': 390377, 'print_id': 134278}, {'counts': 1, 'layout_z': 16.006999969482422, 'model_weight': 4.683, 'order_id': 927132, 'pid': 390378, 'print_id': 134279}, {'counts': 1, 'layout_z': 18.770485206437296, 'model_weight': 6.114, 'order_id': 927137, 'pid': 390383, 'print_id': 134280}, {'counts': 1, 'layout_z': 21.480148458997267, 'model_weight': 9.586, 'order_id': 927133, 'pid': 390379,Line truncated
+local_data= {"machine_print_counts":50, 'machine_type': 'small_machine',"pre_batch_id":991112,"print_machine_id":22,"print_orders":[{"counts":1,"layout_z":3.543965775898459,"model_weight":12.833,"order_id":857420,"pid":268473,"print_id":85240},{"counts":1,"layout_z":7.798861189952786,"model_weight":13.784,"order_id":875986,"pid":305425,"print_id":88136},{'counts': 1, 'layout_z': 33.24255595077689, 'model_weight': 40.467, 'order_id': 935050, 'pid': 401243, 'print_id': 144072}, {'counts': 1, 'layout_z': 25.454279899597168, 'model_weight': 27.469, 'order_id': 935045, 'pid': 401238, 'print_id': 144294}, {'counts': 1, 'layout_z': 25.866534150187974, 'model_weight': 18.187, 'order_id': 934966, 'pid': 401158, 'print_id': 144299}]}
+# local_data= {'machine_print_counts': 130, 'machine_type': 'big_machine', 'pre_batch_id': 9910188, 'print_machine_id': 15, 'print_orders': [{'counts': 1, 'layout_z': 32.65071311811036, 'model_weight': 68.084, 'order_id': 926400, 'pid': 389256, 'print_id': 134168}, {'counts': 1, 'layout_z': 31.780598561603746, 'model_weight': 25.511, 'order_id': 926573, 'pid': 389465, 'print_id': 134170}, {'counts': 1, 'layout_z': 5.202356934547428, 'model_weight': 11.705, 'order_id': 925909, 'pid': 388682, 'print_id': 134178}, {'counts': 1, 'layout_z': 5.1447470188140905, 'model_weight': 12.186, 'order_id': 925910, 'pid': 388683, 'print_id': 134179}, {'counts': 1, 'layout_z': 5.013986945152283, 'model_weight': 11.364, 'order_id': 925932, 'pid': 388707, 'print_id': 134180}, {'counts': 1, 'layout_z': 5.020000934600831, 'model_weight': 11.396, 'order_id': 926770, 'pid': 389842, 'print_id': 134183}, {'counts': 1, 'layout_z': 40.05588230441501, 'model_weight': 60.578, 'order_id': 926776, 'pid': 389895, 'print_id': 134185}, {'counts': 1, 'layout_z': 46.23669371110479, 'model_weight': 56.196, 'order_id': 926778, 'pid': 389918, 'print_id': 134186}, {'counts': 1, 'layout_z': 24.822566986083984, 'model_weight': 31.522, 'order_id': 926268, 'pid': 389067, 'print_id': 134211}, {'counts': 1, 'layout_z': 25.085425667575343, 'model_weight': 31.077, 'order_id': 926267, 'pid': 389066, 'print_id': 134212}, {'counts': 1, 'layout_z': 18.154759649173364, 'model_weight': 6.256, 'order_id': 927059, 'pid': 390269, 'print_id': 134216}, {'counts': 1, 'layout_z': 24.2420189021486, 'model_weight': 14.472, 'order_id': 927065, 'pid': 390275, 'print_id': 134220}, {'counts': 1, 'layout_z': 16.757099114319693, 'model_weight': 5.335, 'order_id': 927078, 'pid': 390299, 'print_id': 134226}, {'counts': 1, 'layout_z': 18.796780948141503, 'model_weight': 7.295, 'order_id': 927079, 'pid': 390300, 'print_id': 134228}, {'counts': 1, 'layout_z': 17.920740666248633, 'model_weight': 7.869, 'order_id': 927082, 'pid': 390303, 'print_id': 134229}, {'counts': 1, 'layout_z': 16.320665859825066, 'model_weight': 4.73, 'order_id': 927081, 'pid': 390302, 'print_id': 134230}, {'counts': 1, 'layout_z': 23.250497020255544, 'model_weight': 15.567, 'order_id': 927100, 'pid': 390331, 'print_id': 134242}, {'counts': 1, 'layout_z': 26.276874511435977, 'model_weight': 19.813, 'order_id': 927103, 'pid': 390334, 'print_id': 134246}, {'counts': 1, 'layout_z': 17.08049576865031, 'model_weight': 5.858, 'order_id': 927111, 'pid': 390342, 'print_id': 134254}, {'counts': 1, 'layout_z': 19.196685578562278, 'model_weight': 6.465, 'order_id': 927117, 'pid': 390347, 'print_id': 134261}, {'counts': 1, 'layout_z': 26.507062216602122, 'model_weight': 14.287, 'order_id': 927116, 'pid': 390346, 'print_id': 134262}, {'counts': 1, 'layout_z': 16.440782827635232, 'model_weight': 5.493, 'order_id': 927118, 'pid': 390348, 'print_id': 134263}, {'counts': 1, 'layout_z': 41.42868301509347, 'model_weight': 68.274, 'order_id': 927122, 'pid': 390354, 'print_id': 134264}, {'counts': 1, 'layout_z': 15.705368176518945, 'model_weight': 4.423, 'order_id': 927119, 'pid': 390349, 'print_id': 134265}, {'counts': 1, 'layout_z': 16.363223697461702, 'model_weight': 5.634, 'order_id': 927120, 'pid': 390351, 'print_id': 134266}, {'counts': 1, 'layout_z': 24.653417686230497, 'model_weight': 17.851, 'order_id': 927121, 'pid': 390353, 'print_id': 134267}, {'counts': 1, 'layout_z': 24.327745611835496, 'model_weight': 28.23, 'order_id': 926040, 'pid': 388832, 'print_id': 134268}, {'counts': 1, 'layout_z': 27.301779030909188, 'model_weight': 23.926, 'order_id': 923281, 'pid': 385001, 'print_id': 134269}, {'counts': 1, 'layout_z': 25.869120288866796, 'model_weight': 32.329, 'order_id': 926077, 'pid': 388864, 'print_id': 134270}, {'counts': 1, 'layout_z': 36.37214874852985, 'model_weight': 65.744, 'order_id': 926086, 'pid': 388873, 'print_id': 134271}, {'counts': 1, 'layout_z': 37.44403689090713, 'model_weight': 80.67, 'order_id': 926097, 'pid': 388884, 'print_id': 134273}, {'counts': 1, 'layout_z': 27.890566642299536, 'model_weight': 22.715, 'order_id': 927127, 'pid': 390372, 'print_id': 134274}, {'counts': 1, 'layout_z': 17.392635113631542, 'model_weight': 5.297, 'order_id': 927128, 'pid': 390373, 'print_id': 134275}, {'counts': 1, 'layout_z': 26.139986312446986, 'model_weight': 15.312, 'order_id': 927129, 'pid': 390375, 'print_id': 134276}, {'counts': 1, 'layout_z': 17.491576609126483, 'model_weight': 6.495, 'order_id': 927130, 'pid': 390376, 'print_id': 134277}, {'counts': 1, 'layout_z': 15.57976295844962, 'model_weight': 5.443, 'order_id': 927131, 'pid': 390377, 'print_id': 134278}, {'counts': 1, 'layout_z': 16.006999969482422, 'model_weight': 4.683, 'order_id': 927132, 'pid': 390378, 'print_id': 134279}, {'counts': 1, 'layout_z': 18.770485206437296, 'model_weight': 6.114, 'order_id': 927137, 'pid': 390383, 'print_id': 134280}, {'counts': 1, 'layout_z': 21.480148458997267, 'model_weight': 9.586, 'order_id': 927133, 'pid': 39037Line truncated
 # local_data= {'machine_print_counts': 60, 'machine_type': 'small_machine', 'pre_batch_id': 9910284, 'print_machine_id': 1, 'print_orders': [{'counts': 1, 'layout_z': 6.981930971145635, 'model_weight': 26.776, 'order_id': 929174, 'pid': 393697, 'print_id': 138265}, {'counts': 1, 'layout_z': 4.955404043197634, 'model_weight': 9.22, 'order_id': 931997, 'pid': 397013, 'print_id': 138846}, {'counts': 1, 'layout_z': 4.771067023277285, 'model_weight': 11.786, 'order_id': 932000, 'pid': 397016, 'print_id': 138851}, {'counts': 1, 'layout_z': 5.249161005020142, 'model_weight': 10.024, 'order_id': 932003, 'pid': 397019, 'print_id': 138854}, {'counts': 1, 'layout_z': 5.251940011978151, 'model_weight': 10.104, 'order_id': 932005, 'pid': 397021, 'print_id': 138856}, {'counts': 1, 'layout_z': 5.263678073883059, 'model_weight': 10.688, 'order_id': 932009, 'pid': 397025, 'print_id': 138875}, {'counts': 1, 'layout_z': 23.813366889953613, 'model_weight': 24.641, 'order_id': 929102, 'pid': 393961, 'print_id': 139071}, {'counts': 1, 'layout_z': 4.554790019989014, 'model_weight': 11.507, 'order_id': 933586, 'pid': 399522, 'print_id': 140121}, {'counts': 1, 'layout_z': 4.795650005340576, 'model_weight': 11.042, 'order_id': 933568, 'pid': 399331, 'print_id': 140150}, {'counts': 1, 'layout_z': 18.085672736889748, 'model_weight': 7.277, 'order_id': 933876, 'pid': 399901, 'print_id': 140261}, {'counts': 1, 'layout_z': 19.534520236131655, 'model_weight': 6.937, 'order_id': 933878, 'pid': 399903, 'print_id': 140264}, {'counts': 1, 'layout_z': 19.559980709635155, 'model_weight': 7.79, 'order_id': 933877, 'pid': 399902, 'print_id': 140265}, {'counts': 1, 'layout_z': 16.488399505615234, 'model_weight': 5.349, 'order_id': 933882, 'pid': 399907, 'print_id': 140271}, {'counts': 1, 'layout_z': 18.02717763893993, 'model_weight': 5.892, 'order_id': 933885, 'pid': 399910, 'print_id': 140277}, {'counts': 1, 'layout_z': 26.876644549545638, 'model_weight': 21.486, 'order_id': 933886, 'pid': 399911, 'print_id': 140278}, {'counts': 1, 'layout_z': 28.074640440717047, 'model_weight': 16.17, 'order_id': 933887, 'pid': 399912, 'print_id': 140280}, {'counts': 1, 'layout_z': 27.306154248118705, 'model_weight': 20.977, 'order_id': 933889, 'pid': 399927, 'print_id': 140281}, {'counts': 1, 'layout_z': 26.094746051465723, 'model_weight': 34.197, 'order_id': 933888, 'pid': 399926, 'print_id': 140282}, {'counts': 1, 'layout_z': 15.87796963527322, 'model_weight': 4.735, 'order_id': 933892, 'pid': 399930, 'print_id': 140287}, {'counts': 1, 'layout_z': 18.191209446277444, 'model_weight': 5.246, 'order_id': 933893, 'pid': 399931, 'print_id': 140288}, {'counts': 1, 'layout_z': 17.777126572389776, 'model_weight': 6.334, 'order_id': 933894, 'pid': 399932, 'print_id': 140289}, {'counts': 1, 'layout_z': 17.58385879418167, 'model_weight': 5.8, 'order_id': 933895, 'pid': 399933, 'print_id': 140290}, {'counts': 1, 'layout_z': 18.593739251800994, 'model_weight': 6.955, 'order_id': 933897, 'pid': 399935, 'print_id': 140293}, {'counts': 1, 'layout_z': 14.231568581173965, 'model_weight': 3.705, 'order_id': 933898, 'pid': 399936, 'print_id': 140294}, {'counts': 1, 'layout_z': 13.998784146949038, 'model_weight': 3.533, 'order_id': 933899, 'pid': 399937, 'print_id': 140295}, {'counts': 1, 'layout_z': 15.9964307861582, 'model_weight': 4.301, 'order_id': 933901, 'pid': 399939, 'print_id': 140297}, {'counts': 1, 'layout_z': 16.18931739014667, 'model_weight': 5.019, 'order_id': 933903, 'pid': 399941, 'print_id': 140299}, {'counts': 1, 'layout_z': 24.79611153168641, 'model_weight': 20.601, 'order_id': 933905, 'pid': 399943, 'print_id': 140301}, {'counts': 1, 'layout_z': 24.306803898330127, 'model_weight': 16.784, 'order_id': 933906, 'pid': 399944, 'print_id': 140302}, {'counts': 1, 'layout_z': 29.3158714015686, 'model_weight': 19.351, 'order_id': 933907, 'pid': 399945, 'print_id': 140303}, {'counts': 1, 'layout_z': 17.005620048049607, 'model_weight': 5.169, 'order_id': 933910, 'pid': 399948, 'print_id': 140305}, {'counts': 1, 'layout_z': 16.464274211211865, 'model_weight': 4.866, 'order_id': 933909, 'pid': 399947, 'print_id': 140306}, {'counts': 1, 'layout_z': 23.198866489386088, 'model_weight': 10.524, 'order_id': 933911, 'pid': 399949, 'print_id': 140307}, {'counts': 1, 'layout_z': 26.516445616407367, 'model_weight': 23.957, 'order_id': 933912, 'pid': 399950, 'print_id': 140308}, {'counts': 1, 'layout_z': 17.937848519147412, 'model_weight': 5.282, 'order_id': 933914, 'pid': 399952, 'print_id': 140310}, {'counts': 1, 'layout_z': 26.754205819816015, 'model_weight': 20.607, 'order_id': 933921, 'pid': 399957, 'print_id': 140315}, {'counts': 1, 'layout_z': 20.002697843362704, 'model_weight': 7.63, 'order_id': 933924, 'pid': 399960, 'print_id': 140318}, {'counts': 1, 'layout_z': 30.231639651233593, 'model_weight': 24.508, 'order_id': 933925, 'pid': 399961, 'print_id': 140319}, {'counts': 1, 'layout_z': 16.061075531610975, 'model_weight': 4.195, 'order_id': 933928, 'pid': 399964, 'print_iLine truncated
 
 test_print_max = 0
 
-is_compute_bbox_net = False
+is_compute_bbox_net = True
 
 # -------------------------- 结束：测试相关 -------------------------------

download_print_out.py

@@ -183,7 +183,7 @@ class DataTransfer:
                                 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}")
+                                # 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)
@@ -212,7 +212,7 @@ class DataTransfer:
             prefix_exists = True
             if obj.key != prefix:  # 跳过目录本身
                 objects.append(obj.key)
-                print(f"obj.key={obj.key}")
+                # print(f"obj.key={obj.key}")
         
         if not prefix_exists:
             print(f"前缀 '{prefix}' 下没有找到任何文件或目录。")
@@ -223,11 +223,11 @@ class DataTransfer:
         # 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('/'):
-                print("下载 endswith('/'")
+                # print("下载 endswith('/'")
                 continue
 
             if "printId" in obj_key:
-                print(f"下载 in obj_key")
+                # print(f"下载 in obj_key")
                 continue
 
             # 计算相对路径
@@ -311,7 +311,7 @@ class DataTransfer:
                                 new_name = f"{batch_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}")
+                                # 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)

point_cloud_layout.py

@@ -244,6 +244,8 @@ def compact_mode_for_min_dis_json(placed_models,dict_unplaced,dict_bounds_fix,ma
 
     y_step=1
     x_step=1
+    x_step_big = x_step * 2
+    y_step_big = y_step * 2
     delta = 10
 
     edge_x_min=0 + extend_dist_border_x_min
@@ -285,7 +287,7 @@ def compact_mode_for_min_dis_json(placed_models,dict_unplaced,dict_bounds_fix,ma
 
         # is_first = get_axis_aligned_bbox(pcd)['y_min']>edge_y_max*0.3 or True
         is_first = index >= len_first
-        if (is_first):
+        if (is_first or True):
             pcd_first.append(pcd)
         else:
             pcd_second.append(pcd)
@@ -354,8 +356,7 @@ def compact_mode_for_min_dis_json(placed_models,dict_unplaced,dict_bounds_fix,ma
                 print("fail to place (x=0)", ply_file_name, dx)
                 dict_unplaced[name]=name
             pcd_processed_curr = pcd_processed
-        x_step_big = x_step * 2
-        y_step_big = y_step * 2
+
         collision_threshold_big = collision_threshold + 6
         y_init_big = 5
         if dx > 80:
@@ -599,10 +600,11 @@ def compact_mode_for_min_dis_json(placed_models,dict_unplaced,dict_bounds_fix,ma
     pcd_second2 = [pcd_second[i] for i in sorted_indices]
     # print("pcd_second2 len", len(pcd_second2))
     
-    check_top_right = True
+    check_top_right = False
     for idx, pcd in enumerate(pcd_second2):
 
         ply_file_name = dict_name[pcd]
+        name = dict_name[pcd]
         obj_name = ply_file_name.split("=")[0]+".obj"
 
         # print("pcd_second2", obj_name)
@@ -620,6 +622,7 @@ def compact_mode_for_min_dis_json(placed_models,dict_unplaced,dict_bounds_fix,ma
             T_transTemp, tx, ty = move_to_top_right(pcd, edge_x_max, edge_y_max)
             check_top_right = False
 
+            collision_threshold_init = collision_threshold+1
             if not check_collision_all(pcd, last_pcd_processed, collision_threshold_init):
                 print("succ move_top_right",name,bbox['x_max'],bbox['y_max'],len(last_pcd_processed))
                 T_trans1 = T_transTemp @ T_trans1
@@ -636,7 +639,6 @@ def compact_mode_for_min_dis_json(placed_models,dict_unplaced,dict_bounds_fix,ma
 
         T_trans1 = T_transTemp @ T_trans1
 
-        name = dict_name[pcd]
         # print("pcd_second2",name,"tx",tx,"ty",ty)
         succ_move = True
         y_accum = 0

print_factory_type_setting_obj_run.py

@@ -143,7 +143,7 @@ def print_type_setting_obj(base_original_obj_dir=None,batch_id=0,selected_mode="
 
     is_upload_result = True
     if is_upload_result:
-        print(f"执行上 传-parent_dir={print_factory_type_dir},base_original_obj_dir={base_original_obj_dir},batch_id={batch_id}")
+        print(f"执行上传: base_original_obj_dir={base_original_obj_dir}, batch_id={batch_id}")
 
         upload_result(base_original_obj_dir, oss_config, batch_id)
 

test_load_json.py

@@ -301,7 +301,7 @@ def set_orthographic(meshes, width=1920, height=1080,
     #    vis.poll_events()
     #    vis.update_renderer()
 
-    print("set_orthographic End")
+    # print("set_orthographic End")
 
     return vis
 
@@ -352,7 +352,6 @@ def render_to_texture(meshes, output_image_path):
         
         # 保存带文字的图片
         image.save(output_image_path)
-        print(f"带文字的渲染图片已保存到: {output_image_path}")
         
     except Exception as e:
         print(f"添加文字时出错: {e}")