Skip to main content

Python package for eventsourcing with SQLAlchemy.

Project description

Event Sourcing in Python with SQLAlchemy

This package supports using the Python eventsourcing library with SQLAlchemy.

Table of contents

Quick start

To use SQLAlchemy with your Python eventsourcing applications:

  • install the Python package eventsourcing_sqlalchemy
  • set the environment variable PERSISTENCE_MODULE to 'eventsourcing_sqlalchemy'
  • set the environment variable SQLALCHEMY_URL to an SQLAlchemy database URL

See below for more information.

Installation

Use pip to install the stable distribution from the Python Package Index. Please note, it is recommended to install Python packages into a Python virtual environment.

$ pip install eventsourcing_sqlalchemy

Getting started

Define aggregates and applications in the usual way.

from eventsourcing.application import Application
from eventsourcing.domain import Aggregate, event
from uuid import uuid5, NAMESPACE_URL


class TrainingSchool(Application):
    def register(self, name):
        dog = Dog(name)
        self.save(dog)

    def add_trick(self, name, trick):
        dog = self.repository.get(Dog.create_id(name))
        dog.add_trick(trick)
        self.save(dog)

    def get_tricks(self, name):
        dog = self.repository.get(Dog.create_id(name))
        return dog.tricks


class Dog(Aggregate):
    @event('Registered')
    def __init__(self, name):
        self.name = name
        self.tricks = []

    @staticmethod
    def create_id(name):
        return uuid5(NAMESPACE_URL, f'/dogs/{name}')

    @event('TrickAdded')
    def add_trick(self, trick):
        self.tricks.append(trick)

To use this module as the persistence module for your application, set the environment variable PERSISTENCE_MODULE to 'eventsourcing_sqlalchemy'.

When using this module, you need to set the environment variable SQLALCHEMY_URL to an SQLAlchemy database URL for your database. Please refer to the SQLAlchemy documentation for more information about SQLAlchemy Database URLs.

import os

os.environ['PERSISTENCE_MODULE'] = 'eventsourcing_sqlalchemy'
os.environ['SQLALCHEMY_URL'] = 'sqlite:///:memory:'

Construct and use the application in the usual way.

school = TrainingSchool()
school.register('Fido')
school.add_trick('Fido', 'roll over')
school.add_trick('Fido', 'play dead')
tricks = school.get_tricks('Fido')
assert tricks == ['roll over', 'play dead']

Google Cloud SQL Python Connector

You can set the environment variable SQLALCHEMY_CONNECTION_CREATOR_TOPIC to a topic that will resolve to a callable that will be used to create database connections.

For example, you can use the Cloud SQL Python Connector in the following way.

First install the Cloud SQL Python Connector package from PyPI.

$ pip install 'cloud-sql-python-connector[pg8000]'

Then define a getconn() function, following the advice in the Cloud SQL Python Connector README page.

from google.cloud.sql.connector import Connector

# initialize Connector object
connector = Connector()

# function to return the database connection
def get_google_cloud_sql_conn():
    return connector.connect(
        "project:region:instance",
        "pg8000",
        user="postgres-iam-user@gmail.com",
        db="my-db-name",
        enable_iam_auth=True,
   )

Set the environment variable 'SQLALCHEMY_CONNECTION_CREATOR_TOPIC', along with 'PERSISTENCE_MODULE' and 'SQLALCHEMY_URL'.

from eventsourcing.utils import get_topic

os.environ['PERSISTENCE_MODULE'] = 'eventsourcing_sqlalchemy'
os.environ['SQLALCHEMY_URL'] = 'postgresql+pg8000://'
os.environ['SQLALCHEMY_CONNECTION_CREATOR_TOPIC'] = get_topic(get_google_cloud_sql_conn)

More information

See the library's documentation and the SQLAlchemy project for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eventsourcing_sqlalchemy-0.5.tar.gz (11.1 kB view hashes)

Uploaded Source

Built Distribution

eventsourcing_sqlalchemy-0.5-py3-none-any.whl (10.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page