python: 3.10
SQLAlchemy: 2.0.9
网上好多sql语句查询相关的代码执行异常,不确定是否与版本有有关
封装了比较实用的 复合唯一索引表的插入或更新,多条件查询,叠加条件查询,以及返回pandas DataFrame。
1. 执行sql语句错误提示:sqlalchemy.exc.ObjectNotExecutableError: Not an executable object‘......’
参考
2. pd.read_sql() pd.read_sql_query() 报错 AttributeError: 'OptionEngine' object has no attribute 'execute'
read_sql() pd.read_sql_query()的con参数,必须是session.bind.connect() 而不是session.bind
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, Index
# 数据库配置
db_config = {
'sqlite': {
'engine': 'sqlite:///mydatabase.db'
},
'mysql': {
'engine': 'mysql+pymysql://username:password@host/database'
}
}
# 根据配置选择 engine
db_choice = 'sqlite'
if db_choice == 'sqlite':
engine = create_engine(db_config['sqlite']['engine'])
elif db_choice == 'mysql':
engine = create_engine(db_config['mysql']['engine'])
else:
engine = create_engine('sqlite:///mydatabase.db')
Session = sessionmaker(bind=engine)
Base = declarative_base()
class Address(Base):
__tablename__ = 'address'
id = Column(Integer, primary_key=True, autoincrement=True)
address = Column(String)
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True, autoincrement=True)
addr_id = Column(Integer, ForeignKey('address.id'))
name = Column(String)
age = Column(Integer)
def __repr__(self):
return f""
class Author(Base):
__tablename__ = 'author'
id = Column(Integer, primary_key=True)
name = Column(String)
books = relationship('Book', back_populates='author')
class Book(Base):
__tablename__ = 'book'
id = Column(Integer, primary_key=True)
title = Column(String)
author_id = Column(Integer, ForeignKey('author.id'))
author = relationship('Author', back_populates='books')
class Department(Base):
__tablename__ = 'department'
id = Column(Integer, primary_key=True)
name = Column(String)
employees = relationship('Employee', back_populates='department')
class Employee(Base):
__tablename__ = 'employee'
id = Column(Integer, primary_key=True)
name = Column(String)
remark = Column(String)
score = Column(Integer)
department_id = Column(Integer, ForeignKey('department.id'))
department = relationship('Department', back_populates='employees')
class Code(Base):
__tablename__ = 'code'
id = Column(Integer, primary_key=True)
symbol = Column(String)
exchange = Column(String)
remark = Column(String)
# 复合唯一索引
__table_args__ = (
Index('ix_vt_symbol', 'symbol', 'exchange', unique=True),
)
Base.metadata.create_all(engine)
import pandas as pd
import sqlalchemy
from sqlalchemy import or_, and_, text
from sqlalchemy.exc import IntegrityError
from sqltool.models import Session, User, Address, Book, Author, Department, Employee, Code
def or_filters(*args):
return or_(*args)
def and_filters(*args):
return and_(*args)
class SqlHelper:
def __init__(self):
self.session = Session()
def add(self, obj):
self.session.add(obj)
self.session.commit()
def delete(self, obj):
self.session.delete(obj)
self.session.commit()
def update(self, obj):
self.session.merge(obj)
self.session.commit()
def upsert(self, model):
self._upsert(model)
self.session.commit()
def _upsert(self, model):
'''
根据唯一索引查找记录,再决定更新(补全primary_key的自增列)或新增记录
'''
unique = self.get_unique_keys(model)
obj = self.session.query(model.__class__).filter(
# getattr(model.__class__, primary_key) == getattr(model, primary_key),
*[(getattr(model.__class__, c) == getattr(model, c)) for c in unique]
).first()
if obj:
primary_key = self.get_primary_key(model)
val = getattr(obj, primary_key)
setattr(model, primary_key, val)
self.session.merge(model)
else:
self.session.add(model)
def add_all(self, models):
try:
self.session.begin()
self.session.add_all(models)
self.session.commit()
except IntegrityError:
# 如果出现唯一键冲突错误,回滚事务
self.session.rollback()
def update_all(self, models):
try:
for m in models:
self.session.merge(m)
self.session.commit()
except IntegrityError:
self.session.rollback()
def delete_all(self, models):
try:
for m in models:
self.session.delete(m)
self.session.commit()
except IntegrityError:
self.session.rollback()
def upsert_all(self, models):
try:
self.session.begin()
for m in models:
self._upsert(m)
self.session.commit()
except IntegrityError:
self.session.rollback()
def query(self, model):
return self.session.query(model)
def update_by(self, model, filters, col_value_map):
return self.session.query(model).filter(filters).update(col_value_map)
def query_by(self, model, *args):
return self.session.query(model).filter(and_(*args))
def query_or(self, model, *args):
return self.session.query(model).filter(or_(*args))
def query_by_func(self, model, func):
'''
使用 or_filters 和 and_filters 叠加查询条件
demo
and_filter(or_filters(User.age < 30, User.age > 60), User.name == 'lisi_6')
等同于
(User.age < 30 or User.age > 60) and User.name == 'lisi_6'
'''
return self.session.query(model).filter(func)
def get_by(self, model, **kwargs):
return self.session.query(model).filter_by(**kwargs).first()
def count_by(self, model, **kwargs):
return self.session.query(model).filter_by(**kwargs).count()
def exists(self, model, **kwargs):
return self.session.query(model).filter_by(**kwargs).exists()
def join(self, model1, model2):
return self.session.query(model1).join(model2)
def join_ex(self, model1, model2):
return self.session.query(model1, model2)
def first(self, query):
return query.first()
def commit(self):
self.session.commit()
def close(self):
self.session.commit()
self.session.close()
def get_primary_key(self, model):
for col in model.__table__.columns:
if col.primary_key:
return col.name
def get_unique_keys(self, model) -> list[str]:
''' 获取唯一键列 '''
# 1.从列中unique属性获取列名
unique = [c.name for c in model.__table__.columns if c.unique]
# 2.从__table_args__自定义索引(Index)中获取unique的列名
idxs = list(model.__table__.indexes)
for idx in idxs:
if not idx.unique:
continue
for c in idx.columns:
unique.append(c.name)
return unique
def execute_sql(self, sqlstr) -> list[tuple]:
return self.session.execute(text(sqlstr)).fetchall()
def read_from(self, sql) -> pd.DataFrame:
'''
查询sql语句,必须使用text()
pandas 需要connection,不是engine
'''
return pd.read_sql_query(text(sql), self.session.bind.connect())
def read_model(self, model) -> pd.DataFrame:
'''
查询sql语句,必须使用text()
pandas 需要connection,不是engine
'''
return pd.read_sql(self.session.query(model).statement, self.session.bind.connect())
def demo():
sql_helper = SqlHelper()
count = sql_helper.count_by(Address)
addr0 = Address()
addr0.address = f"浙江杭州_{count + 1}"
sql_helper.add(addr0)
# addr = sql_helper.query(Address).first()
user = User()
user.addr_id = addr0.id
user.age = 33
user.name = f"lisi_{count + 1}"
sql_helper.add(user)
users = sql_helper.query_by(User, User.name == 'Tom').all()
users = sql_helper.query(User).filter(User.age > 30).all()
users = sql_helper.query(User).filter(User.name.like('a%')).all()
tom = sql_helper.get_by(User, name='Tom')
count = sql_helper.count_by(User)
exists = sql_helper.exists(User, age=30)
first_user = sql_helper.first(sql_helper.query(User))
query_result = sql_helper.join_ex(Address, User).filter(User.addr_id == Address.id).all()
for address, user in query_result:
print(user.id, user.name, address.id, address.address)
# query_result = sql_helper.query(User).join(Address).filter(User.addr_id == Address.id).all()
query_result = sql_helper.query(User).join(Address).all()
for result in query_result:
print(result)
# 连接
author1 = Author(name='Jam')
author2 = Author(name='Sam')
sql_helper.add(author1)
sql_helper.add(author2)
book1 = Book(title="C Language", author_id=author1.id)
book2 = Book(title="C++ Language", author_id=author1.id)
book3 = Book(title="Python", author_id=author2.id)
book4 = Book(title="JavaScript", author_id=author2.id)
sql_helper.add(book1)
sql_helper.add(book2)
sql_helper.add(book3)
sql_helper.add(book4)
# n--1 连接
books = sql_helper.query(Book).join(Author).all()
for book in books:
print(f'Book: {book.title} Author:{book.author.name}')
authors = sql_helper.query(Author).join(Book).all()
for author in authors:
for book in author.books:
print(f'Author: {author.name} Book: {book.title}')
# 1--n 连接
department = Department(name='Sales')
sql_helper.add(department)
employee1 = Employee(name='John', department=department, remark='test1111')
employee2 = Employee(name='Jane', department=department, remark='test2222')
sql_helper.add(employee1)
sql_helper.add(employee2)
dept = sql_helper.query(Department).filter_by(name='Sales').first()
employees = dept.employees
for employee in employees:
print(employee.name)
# 单条件批量更新
rst = sql_helper.update_by(Employee, Employee.name == 'John', {Employee.remark: employee1.remark})
sql_helper.commit()
# 多条件批量更新
rst = sql_helper.update_by(Employee, or_filters(Employee.name == 'John', Employee.name == 'Jane'),
{Employee.remark: employee2.remark})
sql_helper.commit()
print('------------------------------------------------------------')
# 复合唯一索引的存在更新否则插入
code1 = Code(symbol='SA309', exchange='CZCE', remark='test11111')
code2 = Code(symbol='SA309', exchange='CZCE', remark='test22222')
# sql_helper.add(code1)
sql_helper.upsert(code1)
sql_helper.upsert(code2)
print('------------------------------------------------------------')
# or 查询
users = sql_helper.query_or(User, User.age > 55, User.age < 30, User.age == 44, User.name == 'lisi_40').all()
for user in users:
print(user)
print('------------------------------------------------------------')
# and 查询
users = sql_helper.query_by(User, User.name == 'lisi_6', User.age > 45)
for user in users:
print(user)
print('------------------------------------------------------------')
# 多条件嵌套查询 or + and
users = sql_helper.query_by_func(User, and_filters(or_filters(User.age < 30, User.age > 60),
User.name == 'lisi_6')).all()
for user in users:
print(user)
print('------------------------------------------------------------')
result = sql_helper.execute_sql('select * from users;')
for item in result:
print(item)
print('------------------------------------------------------------')
df = sql_helper.read_model(User)
print(df.head())
print('------------------------------------------------------------')
df = sql_helper.read_from('select * from users;')
print(df.tail())
print('------------------------------------------------------------')
result = sql_helper.execute_sql('select * from employee;')
for item in result:
print(item)
print('------------------------------------------------------------')
sql_helper.close()
if __name__ == '__main__':
print(sqlalchemy.__version__)
demo()