When should I use return_exceptions=True in async tasks?

Use it when partial results are acceptable, such as in batch operations where one failed task should not stop the processing of other successful results.

What is the main benefit of using safe_gather over asyncio.gather?

safe_gather provides fail-fast behavior, meaning it cancels all other tasks immediately if one fails, and includes native support for timeouts and cleaner cancellation handling.

Does this skill help with migrating existing codebases?

Yes, it includes a migration decision tree to help you identify which legacy asyncio calls should be upgraded and which can remain as-is to avoid unnecessary churn.

Why is fail-fast important in Python async programming?

Fail-fast prevents 'zombie tasks' from continuing to consume resources and CPU cycles after a primary dependency or a peer task has already failed the operation.

Async Python Patterns

Name: Async Python Patterns
Author: gigaverse-app

bygigaverse-app

API Development

Implements advanced asynchronous programming patterns in Python using safe gather, timeouts, and robust cancellation handling.

About

This skill provides a standardized framework for writing resilient asynchronous code in Python. It introduces the 'safe_gather' pattern, which enhances the standard asyncio.gather by providing fail-fast cancellation, built-in timeout support, and cleaner handling of concurrent operations. It offers guidance on when to use specific async primitives, how to manage partial results, and provides clear migration paths for existing codebases to improve reliability and performance in high-concurrency environments.

Key Features

Fail-fast concurrency that cancels remaining tasks on the first exception
Standardized safe_gather implementation for cleaner cancellation handling
Specific patterns for initialization, data fetching, and graceful shutdown
0 GitHub stars
Integrated timeout support for all asynchronous gather operations
Guidance on partial results processing using return_exceptions

Use Cases

Migrating fragile asyncio.gather calls to a more robust fail-fast implementation
Adding global timeouts to groups of concurrent API requests or database operations
Implementing safe cleanup and shutdown procedures for complex asynchronous services

About

Key Features

Fail-fast concurrency that cancels remaining tasks on the first exception
Standardized safe_gather implementation for cleaner cancellation handling
Specific patterns for initialization, data fetching, and graceful shutdown
0 GitHub stars
Integrated timeout support for all asynchronous gather operations
Guidance on partial results processing using return_exceptions

Use Cases

Migrating fragile asyncio.gather calls to a more robust fail-fast implementation
Adding global timeouts to groups of concurrent API requests or database operations
Implementing safe cleanup and shutdown procedures for complex asynchronous services