pyscheduler-fox 1.0.0

A powerful yet simple Python task scheduler

PyScheduler

The simplest and most powerful Python scheduler

PyScheduler revolutionizes task scheduling in Python. 3 lines are enough to get started, yet it offers all the power needed for production.

✨ Features

• 🎯 Ultra-simple: Get started in 30 seconds
• ⚡ High-performance: Optimized threading, native async tasks
• 🛡️ Robust: Automatic retry, advanced error handling
• 📊 Comprehensive: Detailed logs, monitoring, statistics
• 🕐 Flexible: Intervals, CRON, one-off tasks
• 📄 Production-ready: YAML configuration, integrated CLI

🚀 Installation

pip install pyscheduler[full]

Minimal installation (without optional dependencies)

pip install pyscheduler

⚡ Quick Start

from pyscheduler import PyScheduler, task

@task(60)  # Every minute
def backup_data():
    print("Automatic backup!")

@task(cron="0 9 * * 1-5")  # 9 AM on weekdays
def send_report():
    print("Daily report sent")

# That's it! 🎉
scheduler = PyScheduler()
scheduler.start()

📋 Usage Examples

Simple Tasks

from pyscheduler import task, daily, startup

@task(30)  # Every 30 seconds
def health_check():
    return check_system_health()

@daily("02:00")  # Every day at 2 AM
def daily_backup():
    return backup_database()

@startup()  # On startup
def init_app():
    return initialize_application()

Advanced Configuration

from pyscheduler import PyScheduler
from pyscheduler.config import RetryConfig, Priority

scheduler = PyScheduler(log_level="INFO")

scheduler.add_task(
    func=critical_task,
    interval=300,  # 5 minutes
    priority=Priority.CRITICAL,
    timeout=60,
    retry_config=RetryConfig(max_attempts=3, backoff_factor=2.0)
)

YAML Configuration

# scheduler_config.yaml
global_settings:
  timezone: "Europe/Paris"
  log_level: "INFO"
  max_workers: 10

tasks:
  - name: "backup_task"
    module: "myapp.tasks"
    function: "backup_database"
    schedule:
      type: "cron"
      value: "0 2 * * *"  # 2 AM
    priority: "HIGH"
    timeout: 3600

scheduler = PyScheduler(config_file="scheduler_config.yaml")
scheduler.start()

🎪 Use Cases

Need	PyScheduler Solution
🔄 Periodic Tasks	@task(interval=60)
⏰ Precise Scheduling	@task(cron="0 9 * * 1-5")
🚀 Startup/Shutdown Tasks	@startup() / @shutdown()
⚡ Asynchronous Tasks	Native async def support
🛡️ Robustness	Automatic retry, timeouts
📊 Production	Logs, stats, monitoring

📚 Full Documentation

• 📖 Complete Guide
• 🎯 Detailed Examples
• 🔧 API Reference
• ❓ FAQ & Troubleshooting

🏃‍♂️ Quick Examples

Get started with included examples

# After installation
python -c "from pyscheduler.examples import basic_usage; basic_usage.main()"

Real-time Monitoring

with PyScheduler() as scheduler:
    # Your tasks here
    scheduler.run_forever()  # Ctrl+C to stop

🚀 Advanced Features

🎯 Priorities and Threading

from pyscheduler.config import Priority

@task(interval=60, priority=Priority.CRITICAL)
def critical_health_check():
    return monitor_critical_systems()

@task(interval=300, priority=Priority.LOW)
def cleanup_temp_files():
    return cleanup_operations()

⚡ Asynchronous Tasks

@task(interval=30)
async def async_api_calls():
    async with aiohttp.ClientSession() as session:
        tasks = [fetch_data(session, url) for url in urls]
        return await asyncio.gather(*tasks)

🛡️ Robust Error Handling

from pyscheduler.config import RetryConfig

@task(
    interval=120,
    retry_config=RetryConfig(
        max_attempts=5,
        backoff_factor=2.0,
        max_delay=300
    ),
    timeout=60
)
def unreliable_external_api():
    return call_external_service()

🔥 Why PyScheduler?

Problem	PyScheduler Solution
😩 APScheduler too complex	✅ 3 lines to get started
🐌 Celery is overkill	✅ Zero configuration Redis/broker
🔧 Cron is limited	✅ Native Python + cron expressions
📊 No monitoring	✅ Detailed logs + statistics
🚫 No retry	✅ Smart retry built-in

🏆 Performance

• ⚡ Startup: < 100ms
• 💾 Memory: < 20MB for 100 tasks
• 🔄 Concurrency: Up to 1000 parallel tasks
• 🎯 Precision: ±50ms on schedules

🤝 Contributing

We welcome all contributions!

git clone https://github.com/Tiger-Foxx/PyScheduler.git
cd PyScheduler
pip install -e .[dev]
pytest

📄 License

MIT License - see LICENSE for details.

🙏 Acknowledgments

Inspired by the best scheduling tools, designed for Pythonic simplicity.

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⭐ If PyScheduler helps you, feel free to star the repo!

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