wd-smebiz/mods/smebiz_rate/company_rate/models.py

49 lines
2.2 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

from sqlalchemy.orm import relationship
from context.common import common_db
from sqlalchemy import Column, Integer, String, ForeignKey, Text, DateTime, func, Date, Double
class CompanyRate(common_db.Base):
"""
公司评级数据表
"""
__tablename__ = "company_rate"
id = Column(Integer, primary_key=True, comment="id")
company_name = Column(String(255), comment="公司名称")
file_md = Column(String(255), comment="文件路径")
file_data = Column(Text, comment="文件解析数据")
wj_data = Column(Text, comment="问卷解析后的数据")
file_data_state = Column(String(255), comment="文件解析数据状态") # 未解析,已解析
api_data = Column(Text, comment="接口数据")
api_data_state = Column(String(255), comment="接口数据状态") # 未导入、已导入
man_data = Column(Text, comment="手动填报数据")
man_data_state = Column(String(255), comment="手动填报数据状态")
mgr_data = Column(Text, comment="合并数据")
mgr_data_state = Column(Text, comment="合并数据校验状态") # 未就绪 已就绪
rate_time = Column(DateTime, comment="评级时间")
rate_data = Column(Text, comment="评级数据")
rate_state = Column(String(255), comment="评级状态") # 未评级,已评级,评级失败
rate_level = Column(String(255), comment="信誉级别")
badge = Column(String(255), comment="奖牌") # 123
publish_state = Column(String(255), comment="披露状态") # 未披露,已披露
result_data = Column(Text, comment="结果展示数据")
create_time = Column(DateTime, comment="创建时间", server_default=func.now())
def to_dict(self):
data = {c.name: getattr(self, c.name) for c in self.__table__.columns}
return data
def to_lite_dict(self):
data = {c.name: getattr(self, c.name) for c in self.__table__.columns if c.name in [
"id", "company_name", "file_md", "file_data_state", "api_data_state", "man_data_state", "mgr_data_state",
"rate_time",
"rate_state",
"rate_level",
"badge",
"publish_state",
"result_data",
"create_time"
]}
return data