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git clone https://github.com/paulie-io/paulie-core.git cd paulie-core python -m venv venv source venv/bin/activate pip install -e . The -e flag installs in "editable" mode, allowing you to modify source files and see changes immediately. Containerized paulie install is ideal for Kubernetes, AWS ECS, or testing.

@job.schedule("0 2 * * *") # Runs daily at 2 AM def database_backup(): # Your backup logic here logging.info("Starting automated database backup...") # ... implementation paulie install

| Issue | Likely Cause | Resolution | |-------|--------------|-------------| | ModuleNotFoundError: No module named 'paulie' | Virtual environment not activated | Run source paulie-env/bin/activate | | Permission denied: /var/log/paulie | Log directory ownership | sudo mkdir -p /var/log/paulie && sudo chown $USER:$USER /var/log/paulie | | Address already in use | Port 8080 occupied | Change api.port in config or kill existing process: sudo lsof -i :8080 | | Scheduler stops after terminal closes | Missing process manager | Use nohup , screen , or a systemd service (see below) | | Jobs not running at correct time | Timezone misconfiguration | Verify with python -c "import datetime; print(datetime.datetime.now().astimezone().tzname())" | For a production-grade paulie install , you need a systemd unit (Linux) or launchd (macOS). Below is a systemd example. git clone https://github

Create /etc/systemd/system/paulie.service : Create /etc/systemd/system/paulie

# Dockerfile example FROM python:3.11-slim RUN pip install paulie-scheduler COPY ./jobs /etc/paulie/jobs CMD ["paulie", "start", "--config", "/etc/paulie/config.yaml"] Build and run:

But what exactly is Paulie, and how do you ensure your installation is robust, secure, and production-ready? This article provides a deep dive into the entire process—from system prerequisites to post-installation validation. Before executing a paulie install , it is essential to understand what you are deploying. Paulie (often stylized as Paulie or PaulieIO ) is an open-source, Python-based job scheduler. Unlike Celery (which requires a broker like RabbitMQ) or Airflow (which is heavy and DAG-centric), Paulie focuses on simplicity.

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