Pgqueuer

What's Changed
* Illformed docker build by janbjorge in https://github.com/janbjorge/pgqueuer/pull/115


**Full Changelog**: https://github.com/janbjorge/pgqueuer/compare/v0.8.7...v0.8.8

What's Changed
* Log exception now says job-id by janbjorge in https://github.com/janbjorge/pgqueuer/pull/112
* Use uv as package and project manager by janbjorge in https://github.com/janbjorge/pgqueuer/pull/111
* Push docker latest tag by janbjorge in https://github.com/janbjorge/pgqueuer/pull/113
* Refactor qm run, use context manager for setup/teardown by janbjorge in https://github.com/janbjorge/pgqueuer/pull/114


**Full Changelog**: https://github.com/janbjorge/pgqueuer/compare/v0.8.6...v0.8.7

What's Changed
* Gracefull shutdown benchmarking script by janbjorge in https://github.com/janbjorge/pgqueuer/pull/106
* Use async.Event for alive flagging by janbjorge in https://github.com/janbjorge/pgqueuer/pull/107
* Add tm to db-drivers by janbjorge in https://github.com/janbjorge/pgqueuer/pull/108
* Bugfix: Canceled logged as successful by janbjorge in https://github.com/janbjorge/pgqueuer/pull/110


**Full Changelog**: https://github.com/janbjorge/pgqueuer/compare/v0.8.5...v0.8.6

**New Feature: Concurrency Limiting! 🚀**

Im excited to announce **Concurrency Limiting** in `pgqueuer`, enhancing your ability to manage job processing effectively.

- **Concurrency Limiting**: Controls the number of jobs that can be processed concurrently per entrypoint.

**Example Usage:**

python
from pgqueuer.qm import QueueManager
from pgqueuer.models import Job

Setup QueueManager
qm = QueueManager()

qm.entrypoint("data_processing", concurrency_limit=5)
async def process_data(job: Job):
Job processing logic
pass


What's Changed
* Entrypoint concurrency limiting (with tests & docs) by colingavin in https://github.com/janbjorge/pgqueuer/pull/103
* Bugfix: Invoking .clear on events to eagerly by janbjorge in https://github.com/janbjorge/pgqueuer/pull/104

**Full Changelog**: https://github.com/janbjorge/pgqueuer/compare/v0.8.4...v0.8.5

Shutout to colingavin for another great submission ❤️

🚀 New Feature: Prometheus Metrics Integration in pgqueuer!

Im thrilled to unveil a new enhancement to the `pgqueuer` library — **Prometheus Metrics Integration**! This feature brings monitoring capabilities, enabling you to track and analyze real-time performance metrics of your job queues seamlessly.

**Quick Setup Using Docker:**

Setting up the Prometheus metrics service is straightforward using Docker and can be done in just a few steps. Here's how:

1. **Pull the Docker Image**:
Ensure you have the latest version of the Prometheus service by pulling the image from the GitHub Container Registry:
bash
Pull the latest image
docker pull ghcr.io/janbjorge/pgq-prometheus-service:latest


2. **Run the Docker Container**:
Use the following command to run the service, ensuring to replace the environment variables with your specific PostgreSQL connection details:
bash
Run the service
docker run -p 8000:8000 -e PGHOST=your-postgres-host -e PGDATABASE=your-database -e PGPASSWORD=your-password -e PGUSER=your-username -e PGPORT=5432 ghcr.io/janbjorge/pgq-prometheus-service

This command starts the Prometheus metrics service and makes it accessible at `http://localhost:8000/metrics`, ready for Prometheus to scrape.

**Full Changelog**: https://github.com/janbjorge/pgqueuer/compare/v0.8.3...v0.8.4

**Full Changelog**: https://github.com/janbjorge/pgqueuer/compare/v0.8.2...v0.8.3