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sqlpage
Advanced tools
Python library to easily add pagination on top of DB queries. Supports SQLAlchemy and SQLModel ORMs. This returns a base64 encoded string that can be used to paginate through the results.
Install the latest version from PyPi
pip install sqlpage
Now configure your ORM and then simply call the paginate function to get the paginated results.
result: PageData = paginate(session, query, page_size=page_size)
Before using the paginate function, you need to configure the ORM. As SQLAlchemy and SQLModel uses different
ORMs, you need to configure them separately. This is a one-time setup and you would have already taken this while
configuring the ORM when creating the DB models.
Create your table model
Base = declarative_base()
class User(Base):
__tablename__ = 'user'
id = Column(Integer, primary_key=True)
username = Column(String)
email = Column(String)
Then create a DB session and call
engine = create_engine(f"sqlite:///{DATABASE_NAME}", echo=False)
Base.metadata.create_all(engine)
SessionSqlAlchemy = sessionmaker(bind=engine)
session = SessionSqlAlchemy()
query = session.query(TestTable)
result: PageData = paginate(session, query, page_size=100)
Create your table model
class User(SQLModel, table=True):
__tablename__ = 'user'
id: int = Field(primary_key=True)
username: str = Field(default=None)
email: str = Field(default=None)
Then create a DB session and call
engine = create_engine(f"sqlite:///{DATABASE_NAME}", echo=False)
Base.metadata.create_all(engine)
with Session(engine) as session:
query = session.query(TestTable)
result: PageData = paginate(session, query, page_size=100)
Feel free to open an issues under the Issues tab. Contributions are welcome and appreciated.
FAQs
Python package to add pagination to a model and return bas64 encoded pagination token
We found that sqlpage demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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