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README.md

SQLite Cloud Dialect for SQLAlchemy (Beta)

PyPI - Version PyPI - Downloads PyPI - Python Version

This package enables SQLAlchemy to work seamlessly with SQLite Cloud. The dialect is built upon the existing sqlite dialect in SQLAlchemy.

Beta Version

This dialect is in its early stages and is compatible with Python >= 3.6.

It has been tested on both SQLAlchemy 2.0 and SQLAlchemy 1.4.

The dialect has undergone testing against the SQLAlchemy test_suite, as outlined in the official documentation.

You can track the progress of the remaining test issues in this issue.
The same tests failed and passed on Python 3.6, 3.7 and 3.11.

References

Installation and Usage

To install the package, use the following command:

$ pip install sqlalchemy-sqlitecloud

Get your SQLite Cloud connection string from the SQLite Cloud dashboard, or register at sqlitecloud.io to get one.

Create an SQLAlchemy engine using the SQLite Cloud connection string::

from sqlalchemy import create_engine

engine = create_engine('sqlitecloud://mynode.sqlite.io?apikey=key1234')

Example

The example is based on chinook.sqlite database on SQLite Cloud

import sqlalchemy
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.dialects import registry
from sqlalchemy.orm import backref, declarative_base, relationship, sessionmaker

Base = declarative_base()


class Artist(Base):
    __tablename__ = "artists"

    ArtistId = Column("ArtistId", Integer, primary_key=True)
    Name = Column("Name", String)
    Albums = relationship("Album", backref=backref("artist"))


class Album(Base):
    __tablename__ = "albums"

    AlbumId = Column("AlbumId", Integer, primary_key=True)
    ArtistId = Column("ArtistId", Integer, ForeignKey("artists.ArtistId"))
    Title = Column("Title", String)

# SQLite Cloud connection string
connection_string = "sqlitecloud://myhost.sqlite.cloud:8860/mydatabase.sqlite?apikey=myapikey"

engine = sqlalchemy.create_engine(connection_string)
Session = sessionmaker(bind=engine)
session = Session()

name = "John Doe"
query = sqlalchemy.insert(Artist).values(Name=name)
result_insert = session.execute(query)

title = "The Album"
query = sqlalchemy.insert(Album).values(
    ArtistId=result_insert.lastrowid, Title=title
)
session.execute(query)

query = (
    sqlalchemy.select(Artist, Album)
    .join(Album, Artist.ArtistId == Album.ArtistId)
    .where(Artist.ArtistId == result_insert.lastrowid)
)

result = session.execute(query).fetchone()

print("Artist Name: " + result[0].Name)
print("Album Title: " + result[1].Title)

Run the Test Suite

To run the test suite, first install the sqlitecloud package:

$ pip install sqlitecloud # last version

or install the reference to the local version:

$ cd ../src # sqlitecloud src directory
$ pip install -e .

Then, run the test suite with:

$ cd sqlalchemy-sqlitecloud
$ pytest

Note: VSCode Test Explorer and VSCode GUI debugger doesn't work because the actual implementation of tests is not in the test/test_suite.py file. The test source code is located in a third-party directory and it's not recognized.

For command-line debugging, use pytest --pdb with pdb.set_trace().

Some useful pdb commands include:

  • s step into
  • n next line
  • r jump to the end of the function
  • c continue
  • w print stack trace

More info: https://docs.python.org/3/library/pdb.html