Python utilities developed by Devpunks.
Project description
PUNKZ
This is a package developed by Devpunks that contains some utilities for our projects. At the moment it includes:
- Cache System (local, AWS S3 bucket)
- Processor Framework (very experimental)
Table of Contents
Installation
You can easily install this package using pip.
pip install punkz
Usage
There are many utilities contained in this package.
Cache System
Local Caching
Example Code for local caching.
from punkz.core import Cache, LocalCacheProvider
from punkz.packages import get_logger
logger = get_logger("cache_logger")
provider = LocalCacheProvider(".cache", logger=logger)
my_cache = Cache(
provider=provider,
cache_instance_id="test",
expiration="1d",
logger=logger
)
@my_cache.cache
def my_func(x):
return x + 1
print(my_func(99))
Note: not passing logger to the Cache or the Provider is possible and if done it will simply deactivate logging and printing.
Caching on AWS
Example Code for caching on an AWS S3 bucket.
from punkz.core import Cache, AWSS3CacheProvider
from punkz.packages import get_logger
logger = get_logger("cache_logger")
provider = AWSS3CacheProvider(
bucket_name="your-bucket-name",
access_key_id="your-access-key-id",
secret_access_key="your-secret-access-key",
logger=logger
)
my_cache = Cache(
provider=provider,
cache_instance_id="test",
expiration="1d",
logger=logger
)
@my_cache.cache
def my_func(x):
return x + 1
print(my_func(99))
Processor Framework
This is still a work in progress functionality. Documentation will be added in future releases.
License
This package is released under MIT License.
Disclaimer
This package is highly experimental and it will be further expanded and refactored in the future.
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