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Project description
outbox-streaming
Reliably send messages to message/task brokers, like Kafka or Celery
Roadmap
Done
- ✅ Kafka + SQLAlchemy
- ✅ Kafka + SQLAlchemy + asyncio
In progress
- ⏹ Celery + SQLAlchemy
- ⏹ Celery + SQLAlchemy + asyncio
Planned
- 🆕 Kafka + Django ORM
- 🆕 Celery + Django ORM
- 🆕 Dramatiq + SQLAlchemy
- 🆕 Dramatiq + SQLAlchemy + asyncio
- 🆕 Dramatiq + Django
- 🆕 RabbitMQ + SQLAlchemy
- 🆕 RabbitMQ + SQLAlchemy + asyncio
- 🆕 RabbitMQ + Djagno
Example FastAPI + Kafka + SQLAlchemy
from fastapi import FastAPI
from outbox_streaming.kafka.sqlalchemy import SQLAlchemyKafkaOutbox
from sqlalchemy import orm
from app import models, db
from app.config import config
from app.schemas import TodoCreate
app = FastAPI()
# create instance of SQLAlchemyKafkaOutbox
outbox = SQLAlchemyKafkaOutbox(
engine=db.engine,
kafka_servers=config.KAFKA_SERVERS,
)
# Run separate tread that monitor outbox table and publish messages to Kafka. It's not recommended for production,
# but it's handy for development
outbox.publisher.run_daemon()
Session = orm.sessionmaker(bind=db.engine)
# create outbox tables
outbox.storage.create_tables(engine=db.engine)
@app.post('/todos')
def create_todo(create: TodoCreate) -> str:
with Session() as session:
# create new object
todo = models.Todo(text=create.text)
session.add(todo)
# create kafka event in outbox table
outbox.save(
session=session,
topic='todo_created',
value=todo.to_dict(),
)
# commit changes in database
session.commit()
# publisher will pick up kafka message from outbox table and will send it kafka topic
return "OK"
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