Merge branch 'develop' of https://e.coding.net/jikimo-hn/jikimo_sfs/jikimo_sf into feature/bug修复
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@@ -82,7 +82,7 @@ class QuickEasyOrder(models.Model):
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# logging.info('create-model_file:%s' % len(vals['model_file']))
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obj = super(QuickEasyOrder, self).create(vals)
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# self.model_coloring(obj)
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self.model_coloring(obj)
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self.distribute_to_factory(obj)
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obj.state = '待接单'
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return obj
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@@ -90,14 +90,14 @@ class QuickEasyOrder(models.Model):
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# 将attach的datas内容转为glb文件
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def transition_glb_file(self, report_path, model_code):
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shapes = read_step_file(report_path)
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output_file = os.path.join('C:/Users/43484/Desktop/机企猫工作文档', str(model_code) + '.stl')
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# output_file = os.path.join('/tmp', str(model_code) + '.stl')
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# output_file = os.path.join('C:/Users/43484/Desktop/机企猫工作文档', str(model_code) + '.stl')
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output_file = os.path.join('/tmp', str(model_code) + '.stl')
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write_stl_file(shapes, output_file, 'binary', 0.03, 0.5)
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# 转化为glb
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output_glb_file = os.path.join('C:/Users/43484/Desktop/机企猫工作文档', str(model_code) + '.glb')
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# output_glb_file = os.path.join('/tmp', str(model_code) + '.glb')
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# output_glb_file = os.path.join('C:/Users/43484/Desktop/机企猫工作文档', str(model_code) + '.glb')
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output_glb_file = os.path.join('/tmp', str(model_code) + '.glb')
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util_path = get_resource_path('sf_dlm', 'static/util')
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cmd = 'python %s/stl2gltf.py %s %s -b' % (util_path, output_file, output_glb_file)
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cmd = 'python3 %s/stl2gltf.py %s %s -b' % (util_path, output_file, output_glb_file)
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os.system(cmd)
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# 转base64
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with open(output_glb_file, 'rb') as fileObj:
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@@ -122,17 +122,17 @@ class QuickEasyOrder(models.Model):
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model_code = hashlib.sha1(base64_datas.encode('utf-8')).hexdigest()
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logging.info("模型编码: %s" % model_code)
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item.model_file = self.transition_glb_file(report_path, model_code)
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# ret = self.feature_recognition(report_path, model_code)
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# logging.info("自动报价返回值: %s" % ret)
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# boxshape = ret['boxshape'].tolist()
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# logging.info("自动报价boxshape: %s" % boxshape)
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# logging.info('自动报价feature_infos:%s' % ret['feature_infos'])
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# item.model_length = boxshape[0] # 长 单位mm
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# item.model_width = boxshape[1] # 宽
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# item.model_height = boxshape[2] # 高
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# item.model_volume = boxshape[0] * boxshape[1] * boxshape[2]
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# item.model_feature = json.dumps(ret['feature_infos'], ensure_ascii=False)
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# self._get_price(item)
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ret = self.feature_recognition(report_path, model_code)
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logging.info("自动报价返回值: %s" % ret)
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boxshape = ret['boxshape'].tolist()
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logging.info("自动报价boxshape: %s" % boxshape)
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logging.info('自动报价feature_infos:%s' % ret['feature_infos'])
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item.model_length = boxshape[0] # 长 单位mm
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item.model_width = boxshape[1] # 宽
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item.model_height = boxshape[2] # 高
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item.model_volume = boxshape[0] * boxshape[1] * boxshape[2]
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item.model_feature = json.dumps(ret['feature_infos'], ensure_ascii=False)
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self._get_price(item)
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else:
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item.model_file = False
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item.model_feature = False
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