Question 1

How to set up JetStream with NATS.py for message persistence?

Accepted Answer

Use the `js = nc.jetstream()` context to add streams and create consumers. The README shows examples for push and pull subscriptions, including durable consumers that survive restarts and ordered consumers with flow control.

Question 2

NATS.py vs pynats for Python NATS clients?

Accepted Answer

NATS.py is the official, actively maintained client with full async/await and JetStream support, while pynats is an older, less feature-rich alternative. For new projects, NATS.py is recommended due to its modern API and comprehensive NATS 2.0 features.

Question 3

How to handle errors and timeouts in NATS.py async code?

Accepted Answer

The library provides specific error classes like `TimeoutError` and `ConnectionClosedError`. Use try-except blocks in async functions, as shown in the getting started example for request timeouts and message iteration error handling.

Question 4

Can I use NATS.py with Django or other synchronous web frameworks?

Accepted Answer

It's challenging due to the async nature. You'd need to run the asyncio event loop separately or use async views in Django 3.1+, but it's not straightforward and may require additional layers or refactoring for seamless integration.

Question 5

How to scale consumers with queue groups in NATS.py?

Accepted Answer

Subscribe with a queue group name using `await nc.subscribe('subject', 'queue_group', cb)`. Messages are load-balanced among consumers in the same group, as demonstrated in the help request example for distributing work among subscribers.

Question 6

Troubleshooting SSL certificate errors in NATS.py on macOS?

Accepted Answer

The README notes that on OS X, you may need to install the `certifi` bundle or run a system command to fix certificates, indicating platform-specific issues that require manual intervention and can be a hurdle for seamless deployment.

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