taskiq-aiopg 0.2.0

Aiopg and PostgreSQL integration for taskiq

taskiq + aiopg

Plugin for taskiq that adds a new result backend based on PostgreSQL and aiopg.

Installation

This project can be installed using pip/poetry/uv (choose your preferred package manager):

pip install taskiq-aiopg

Usage

Let's see the example with the redis broker and PostgreSQL aiopg result backend (run as is):

# broker.py
import asyncio

import taskiq_redis

from taskiq_aiopg import AiopgResultBackend

result_backend = AiopgResultBackend(
    dsn="postgres://postgres:postgres@localhost:5432/postgres",
)

# Or you can use PubSubBroker if you need broadcasting
broker = taskiq_redis.ListQueueBroker(
    url="redis://localhost:6379",
).with_result_backend(result_backend)


@broker.task(task_name="best_task_ever")
async def best_task_ever() -> None:
    """Solve all problems in the world."""
    print("Start to solve all problems...")
    await asyncio.sleep(2.0)
    print("All problems are solved!")


async def main():
    print("Starting the application")
    await broker.startup()
    task = await best_task_ever.kiq()
    print(await task.wait_result())
    await broker.shutdown()


if __name__ == "__main__":
    asyncio.run(main())

Configuration

• dsn: connection string to PostgreSQL;
• keep_results: flag to not remove results from Redis after reading;
• table_name: name of the table in PostgreSQL to store TaskIQ results;
• field_for_task_id: type of a field for task_id, you may need it if you want to have length of task_id more than 255 symbols;
• serializer: type of TaskiqSerializer default is PickleSerializer;
• **connect_kwargs: additional connection parameters, you can read more about it in aiopg repository.