fastapi_cache | FastAPI simple cache | Reactive Programming library

by comeuplater Python Version: 0.0.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | fastapi_cache Summary

fastapi_cache is a Python library typically used in Programming Style, Reactive Programming, Fastapi, Docker applications. fastapi_cache has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install fastapi_cache' or download it from GitHub, PyPI.

FastAPI simple cache

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Quality

Security

License

Reuse

Support

fastapi_cache has a low active ecosystem.

It has 119 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fastapi_cache is 0.0.1

Quality

fastapi_cache has 0 bugs and 0 code smells.

Security

fastapi_cache has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fastapi_cache code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fastapi_cache is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fastapi_cache releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 156 lines of code, 24 functions and 7 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed fastapi_cache and discovered the below as its top functions. This is intended to give you an instant insight into fastapi_cache implemented functionality, and help decide if they suit your requirements.

Check if a key exists in the cache
Get a value from the cache
Removes the key from the cache
Check if ttl is expired
Set the value of a key
Return the timestamp for ttl
Return redis client
Create redis connection
Adds a key to the cache
Set key to value
Close all caches
Returns a tuple of all cached caches

Get all kandi verified functions for this library.

fastapi_cache Key Features

No Key Features are available at this moment for fastapi_cache.

fastapi_cache Examples and Code Snippets

No Code Snippets are available at this moment for fastapi_cache.

Community Discussions

Trending Discussions on fastapi_cache

How to trigger lifespan startup and shutdown while testing FastAPI app?

QUESTION

How to trigger lifespan startup and shutdown while testing FastAPI app?

Asked 2020-Nov-30 at 19:57

Being very new to FastAPI I am strugling to test slightly more difficult code than I saw in the tutorial. I use fastapi_cache module and Redis like this:

...

ANSWER

Answered 2020-Nov-30 at 19:57

The point is that httpx does not implement lifespan protocol and trigger startup event handlers. For this, you need to use LifespanManager.

Install: pip install asgi_lifespan

The code would be like so:

Source https://stackoverflow.com/questions/65051581

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fastapi_cache

You can install using 'pip install fastapi_cache' or download it from GitHub, PyPI.
You can use fastapi_cache like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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