38 lines
1.4 KiB
Python
38 lines
1.4 KiB
Python
# -*- coding: utf-8 -*-
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import logging
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from odoo.modules import get_resource_path
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from odoo import fields, models, api
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# from quatotion import readSql, feature_recognize, auto_quatotion
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__author__ = 'jinling.yang'
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_logger = logging.getLogger(__name__)
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class AutoQuatotion(models.Model):
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_name = 'sf.auto_quatotion.common'
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_description = u'自动报价公用类'
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# 获取feature.sqlite的地址
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def get_feature_full_path(self):
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return get_resource_path('sf_sale', 'models', 'feature.sqlite')
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# 获取price.sqlite的地址
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def get_price_full_path(self):
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return get_resource_path('sf_sale', 'models', 'price.sqlite')
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# 获取price.sqlite的地址
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def get_process_time_db_path(self):
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return get_resource_path('sf_sale', 'models', 'process_time.db')
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# def get_auto_quatotion(self, stp_url, feature_full_path, process_time_db_path, model_code):
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# '''
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# 通过打包好的.so库，
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# 以调用autoQuatotion库中Quatotion类，
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# 初始化后调用类的analyseShape方法对模型文件进行价格预测
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# '''
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# # 初始化自动报价类(输入特征数据库和加工时间数据库)
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# reader = auto_quatotion.Quatotion(feature_full_path, process_time_db_path)
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# # 获取价格、加工时间、尺寸、XYZ、翻面次数
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# feature_info = reader.analyseShape(stp_url, InfoJson={})
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# return feature_info
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