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Example of using QTasks for small businesses

Small businesses often face automation challenges: notifications, reports, CRM integrations, data exchange between services. QTasks provides an easy-to-use, yet powerful platform that allows you to build reliable solutions without heavy infrastructure costs.

🏪 Scenario

Let's say you have an online store. You need to:

  1. Automatically notify customers about their order status.
  2. Collect daily sales analytics.
  3. Integrate with an external CRM.

📦 Customer notifications

@app.task(name="notify_status")
async def notify_status(order_id: int):
    order = await db.get_order(order_id)
    await sms_api.send(order.phone, f"Your order {order.id} is now: {order.status}")

📊 Daily analytics with a timer

from qtasks.timers import AsyncTimer
from apscheduler.triggers.cron import CronTrigger

timer = AsyncTimer(app=app)

timer.add_task("daily_report", trigger=CronTrigger(hour=23, minute=59))

@app.task(name="daily_report")
async def daily_report():
    stats = await db.get_today_stats()
await mailer.send("owner@shop.com", "Daily report", stats.format())

🔗 Integration with CRM via yield and generate_handler

async def log_crm(result):
    await crm_api.send_log(result)
    return result

@app.task(generate_handler=log_crm, echo=True)
async def export_orders():
    for order in await db.get_exportable_orders():
        yield order.to_dict()

🛠 Error handling and task restart

@app.task(retry=3, retry_on_exc=[ConnectionError])
async def sync_with_crm():
    await crm_api.sync()

📈 Benefits of QTasks for business

  • Automation without external queues (by default)
  • Convenient timers for daily and weekly tasks
  • Built-in error handling and restarts
  • Flexible architecture: can be extended to meet the needs of CRM, BI, warehouses, and logistics.

✅ Result

With QTasks, small businesses can build an automated data processing system that will work stably, scale as they grow, and does not require a complex DevOps infrastructure from the team.