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@ -6,6 +6,7 @@ else: |
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sys.path.append('/data/deploy/make3d/make2/libs/') |
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sys.path.append('/data/deploy/make3d/make2/libs/') |
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import config, libs, libs_db |
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import config, libs, libs_db |
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import pandas as pd |
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def bmesh_copy_from_object(obj, transform=True, triangulate=True, apply_modifiers=False): |
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def bmesh_copy_from_object(obj, transform=True, triangulate=True, apply_modifiers=False): |
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"""Returns a transformed, triangulated copy of the mesh""" |
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"""Returns a transformed, triangulated copy of the mesh""" |
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@ -73,12 +74,32 @@ def main(action, pid, sizes,orderId=0): |
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bpy.ops.object.transform_apply(location=True, rotation=True, scale=True) |
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bpy.ops.object.transform_apply(location=True, rotation=True, scale=True) |
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print(f'模型{pid}的体积与克重估算信息:') |
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print(f'模型{pid}的体积与克重估算信息:') |
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arrData = {} |
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arrData = {} |
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excel_file = 'weights.xlsx' # 替换为你的文件路径 |
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df = pd.read_excel(excel_file) |
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new_data = { |
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'pid': [pid], # 假设新的 pid 是 '002' |
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'6cm': [0], # 新的 6cm 数据 |
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'7cm': [0], # 新的 7cm 数据 |
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'8cm': [0], # 新的 8cm 数据 |
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} |
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for size in sizes: |
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for size in sizes: |
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size = float(size) |
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size = float(size) |
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weight = cal_weight(obj, size) |
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weight = cal_weight(obj, size) |
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size = str(size/10)+"cm" |
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size = str(size/10)+"cm" |
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arrData[size] = str(weight)+"g" |
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arrData[size] = str(weight)+"g" |
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if size+"cm" in df.columns: |
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new_data[size+"cm"] = [weight] |
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# 更新数据 |
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# 将新数据转换为 DataFrame |
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new_df = pd.DataFrame(new_data) |
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# 将新数据附加到原始 DataFrame 中 |
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df = pd.concat([df, new_df], ignore_index=True) |
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# 保存更新后的 Excel 文件 |
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df.to_excel(excel_file, index=False) |
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#请求接口进行更新数据 |
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#请求接口进行更新数据 |
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arrParams = {"pid":pid,"order_id":orderId} |
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arrParams = {"pid":pid,"order_id":orderId} |
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if action == "auto": |
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if action == "auto": |
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