118 lines
4.2 KiB
Python
118 lines
4.2 KiB
Python
# -*- coding: utf-8 -*-
|
||
from datetime import datetime
|
||
from sqlalchemy import create_engine, inspect, Inspector, Float
|
||
from sqlalchemy.ext.declarative import declarative_base
|
||
from sqlalchemy import (Column, Integer, DECIMAL, String, ForeignKey,
|
||
BigInteger, DateTime, PickleType, Boolean, Text)
|
||
from sqlalchemy.sql import func
|
||
from sqlalchemy.orm import relationship, Session
|
||
from sqlalchemy.pool import NullPool
|
||
import yaml
|
||
|
||
with open('../conf_db.yaml') as file:
|
||
dct_conf_db_all = yaml.full_load(file)
|
||
is_local_db = dct_conf_db_all['is_local_db']
|
||
if is_local_db:
|
||
dct_conf_db = dct_conf_db_all['local']
|
||
else:
|
||
dct_conf_db = dct_conf_db_all['remote']
|
||
|
||
with open('../conf_db_prefix.yaml') as file:
|
||
dct_conf_db_prefix = yaml.full_load(file)
|
||
db_name_prefix = dct_conf_db_prefix['db_name_prefix']
|
||
|
||
str_login = 'mysql://{}:{}@{}:{}/{}'.format(dct_conf_db['user_name'],
|
||
dct_conf_db['password'],
|
||
dct_conf_db['address'],
|
||
dct_conf_db['port'],
|
||
dct_conf_db['db_name'])
|
||
# print('DB is {}:{}/{}'.format(dct_conf_db['address'], dct_conf_db['port'], dct_conf_db['db_name']))
|
||
|
||
# must be null pool to avoid connection lost error
|
||
engine = create_engine(str_login, poolclass=NullPool)
|
||
connection = engine.connect()
|
||
ins: Inspector = inspect(engine)
|
||
|
||
Base = declarative_base()
|
||
|
||
db_session = Session(bind=engine)
|
||
|
||
|
||
class Experiment(Base):
|
||
__tablename__ = f"{db_name_prefix}_experiment"
|
||
id = Column(Integer, primary_key=True, autoincrement=True)
|
||
|
||
idx_scenario = Column(Integer, nullable=False)
|
||
idx_init_removal = Column(Integer, nullable=False)
|
||
|
||
# fixed parameters
|
||
n_sample = Column(Integer, nullable=False)
|
||
n_iter = Column(Integer, nullable=False)
|
||
|
||
# variables
|
||
dct_lst_init_disrupt_firm_prod = Column(PickleType, nullable=False)
|
||
g_bom = Column(Text(4294000000), nullable=False)
|
||
|
||
n_max_trial = Column(Integer, nullable=False)
|
||
prf_size = Column(Boolean, nullable=False)
|
||
prf_conn = Column(Boolean, nullable=False)
|
||
cap_limit_prob_type = Column(String(16), nullable=False)
|
||
cap_limit_level = Column(DECIMAL(8, 4), nullable=False)
|
||
diff_new_conn = Column(DECIMAL(8, 4), nullable=False)
|
||
remove_t = Column(Integer, nullable=False)
|
||
netw_prf_n = Column(Integer, nullable=False)
|
||
|
||
sample = relationship(
|
||
'Sample', back_populates='experiment', lazy='dynamic')
|
||
|
||
def __repr__(self):
|
||
return f'<Experiment: {self.id}>'
|
||
|
||
|
||
class Sample(Base):
|
||
__tablename__ = f"{db_name_prefix}_sample"
|
||
id = Column(Integer, primary_key=True, autoincrement=True)
|
||
e_id = Column(Integer, ForeignKey('{}.id'.format(
|
||
f"{db_name_prefix}_experiment")), nullable=False)
|
||
|
||
idx_sample = Column(Integer, nullable=False)
|
||
seed = Column(BigInteger, nullable=False)
|
||
# -1, waiting; 0, running; 1, done
|
||
is_done_flag = Column(Integer, nullable=False)
|
||
computer_name = Column(String(64), nullable=True)
|
||
ts_done = Column(DateTime(timezone=True), onupdate=func.now())
|
||
stop_t = Column(Integer, nullable=True)
|
||
|
||
g_firm = Column(Text(4294000000), nullable=True)
|
||
|
||
experiment = relationship(
|
||
'Experiment', back_populates='sample', uselist=False)
|
||
result = relationship('Result', back_populates='sample', lazy='dynamic')
|
||
|
||
def __repr__(self):
|
||
return f'<Sample id: {self.id}>'
|
||
|
||
|
||
class Result(Base):
|
||
__tablename__ = f"{db_name_prefix}_result"
|
||
id = Column(Integer, primary_key=True, autoincrement=True)
|
||
s_id = Column(Integer, ForeignKey('{}.id'.format(
|
||
f"{db_name_prefix}_sample")), nullable=False)
|
||
|
||
id_firm = Column(String(20), nullable=False)
|
||
id_product = Column(String(20), nullable=False)
|
||
ts = Column(Integer, nullable=False)
|
||
status = Column(String(5), nullable=False)
|
||
|
||
sample = relationship('Sample', back_populates='result', uselist=False)
|
||
|
||
# 💥 新增 GA 调用 ID，用于标记属于哪一次遗传算法运行
|
||
ga_id = Column(String(50), nullable=True)
|
||
|
||
def __repr__(self):
|
||
return f'<Product id: {self.id}>'
|
||
|
||
if __name__ == '__main__':
|
||
Base.metadata.drop_all()
|
||
Base.metadata.create_all()
|