用于构建缓存系统的 Python 库

Question

我想用Python构建一个缓存系统来获取每日数据. 最初，我考虑过使用 Kubo，但在遇到关于它与 IPFS 不一样的讨论以及对 https://github.com/ipfs/boxo 等项目的引用之后，我不确定. 对各种库的维护成本和带宽限制的担忧使我质疑直接与CLI和HTTP API交互是否是更好的方法.

理想情况下，我想要一个类似于与数据库交互的界面，重点是简单性. 在探索选项时，我看到了boxo项目的一句话，其中提到了从Kubo向不同语言的IPFS工具的过渡. 但是，我对特定于 Python 的解决方案特别感兴趣. 有人能推荐一个合适的Python库来实现一个可能有pubsub接口的缓存系统吗？

IPFS moderator · Answer

It is a valid question. In Python, there is no inherent limitation that prevents calling something over HTTP. There are reliable Python bindings available that can facilitate this process. Depending on your proficiency level, you could potentially migrate a significant portion of Boxo within a few days to a week or two. This integration enables the execution of the Go runtime within a Python interpreter, allowing for seamless interaction between Go and Python. One notable drawback of Kubo is its current state of being in an as-is condition. While it may suffice if all required functionalities are accessible through the Kubo API, encountering a need for unavailable features or subpar performance could pose significant challenges. Although there exist some workarounds, the options are limited. By leveraging Boxo, you gain the flexibility to customize and extend functionalities as needed. This includes implementing missing components or introducing necessary shims to enhance the overall capabilities.

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用于构建缓存系统的 Python 库

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