Metadata-Version: 1.1
Name: Adept
Version: 0.0.2
Summary: Simple binding for Adept
Home-page: https://github.com/fictivekin/adept-python
Author: Phil Howell
Author-email: phil@fictivekin.com
License: MIT
Download-URL: https://github.com/fictivekin/adept-python/archive/0.0.2.tar.gz
Description: ## Adept 
        
        ### Installation
        
        `pip install git+ssh://git@github.com/fictivekin/adept-python.git`
        
        ### Using the package
        
        Import the Adept class from the package, pass through your account credentials
        
        ```
        from adept import Adept
        a = Adept(
            accound_id='9b5dd41deff8ae7e3767fc6566cb25ff3ca66438',
            account_key='251692b3899f1e30fe4b7037185488aad37c46f8',
            cloudfront_hostname='some.cloudfront.host.com'
        )
        ```
        
        You can then generate a URL for given image operations on an S3 asset (and specified bucket) or image URL.
        
        An example using an S3 asset:
        
        ```
        operations = ['maxwidth-400', 'cropcenter-400x300']
        a.generate_url(
            bucket='gimmebar-assets',
            asset_key='526fc2761c899.jpg',
            operations=operations,
        )
        ```
        
Keywords: adept,image,resize,processing
Platform: UNKNOWN
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Topic :: Multimedia :: Graphics :: Graphics Conversion
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Software Development :: Libraries :: Python Modules
