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a368a6de90 | ||
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7d929a0b19 |
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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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@@ -73,11 +74,31 @@ 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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