对模型进行上色和特征识别及自动报价

This commit is contained in:
jinling.yang
2023-08-25 10:39:31 +08:00
parent e7d32e5041
commit 5de04449e4
8 changed files with 195 additions and 27 deletions

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