semvec/pypi-packages huggingface dataset:
taskiq-psqlpy 0.1.7
PSQLPy and PostgreSQL integration for taskiq
Requires Python: <4.0.0,>=3.9.0
Keywords: taskiq, tasks, distributed, async, postgresql, result_backend, psqlpy

# TaskIQ - PSQLPy

TaskIQ-PSQLPy is a plugin for taskiq that adds a new result backend based on PostgreSQL and [PSQLPy](https://github.com/qaspen-python/psqlpy).

## Installation
To use this project you must have installed core taskiq library:
```bash
pip install taskiq
```

This project can be installed using pip:
```bash
pip install taskiq-psqlpy
```

Or using poetry:
```
poetry add taskiq-psqlpy
```

## Usage
Let's see the example with the redis broker and PostgreSQL PSQLPy result backend:
```python
# broker.py
import asyncio

from taskiq_redis import ListQueueBroker
from taskiq_psqlpy import PSQLPyResultBackend

psqlpy_result_backend = PSQLPyResultBackend(
    dsn="postgres://postgres:postgres@localhost:5432/postgres",
)

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


@broker.task
async def best_task_ever() -> None:
    """Solve all problems in the world."""
    await asyncio.sleep(5.5)
    print("All problems are solved!")


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


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

## PSQLPyResultBackend 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.
- `**connect_kwargs`: additional connection parameters, you can read more about it in [PSQLPy](https://github.com/qaspen-python/psqlpy) repository.