phorward/python-minifier

Transform Python source code into it's most compact representation

Python Minifier

Transforms Python source code into it's most compact representation.

Try it out!

python-minifier currently supports Python 2.7 and Python 3.3 to 3.10. Previous releases supported Python 2.6.

• PyPI
• Documentation
• Issues

As an example, the following python source:

def handler(event, context):
    l.info(event)
    try:
        i_token = hashlib.new('md5', (event['RequestId'] + event['StackId']).encode()).hexdigest()
        props = event['ResourceProperties']

        if event['RequestType'] == 'Create':
            event['PhysicalResourceId'] = 'None'
            event['PhysicalResourceId'] = create_cert(props, i_token)
            add_tags(event['PhysicalResourceId'], props)
            validate(event['PhysicalResourceId'], props)

            if wait_for_issuance(event['PhysicalResourceId'], context):
                event['Status'] = 'SUCCESS'
                return send(event)
            else:
                return reinvoke(event, context)

        elif event['RequestType'] == 'Delete':
            if event['PhysicalResourceId'] != 'None':
                acm.delete_certificate(CertificateArn=event['PhysicalResourceId'])
            event['Status'] = 'SUCCESS'
            return send(event)

        elif event['RequestType'] == 'Update':

            if replace_cert(event):
                event['PhysicalResourceId'] = create_cert(props, i_token)
                add_tags(event['PhysicalResourceId'], props)
                validate(event['PhysicalResourceId'], props)

                if not wait_for_issuance(event['PhysicalResourceId'], context):
                    return reinvoke(event, context)
            else:
                if 'Tags' in event['OldResourceProperties']:
                    acm.remove_tags_from_certificate(CertificateArn=event['PhysicalResourceId'],
                                                     Tags=event['OldResourceProperties']['Tags'])

                add_tags(event['PhysicalResourceId'], props)

            event['Status'] = 'SUCCESS'
            return send(event)
        else:
            raise RuntimeError('Unknown RequestType')

    except Exception as ex:
        l.exception('')
        event['Status'] = 'FAILED'
        event['Reason'] = str(ex)
        return send(event)

Becomes:

def handler(event,context):
	L='OldResourceProperties';K='Tags';J='None';H='SUCCESS';G='RequestType';E='Status';D=context;B='PhysicalResourceId';A=event;l.info(A)
	try:
		F=hashlib.new('md5',(A['RequestId']+A['StackId']).encode()).hexdigest();C=A['ResourceProperties']
		if A[G]=='Create':
			A[B]=J;A[B]=create_cert(C,F);add_tags(A[B],C);validate(A[B],C)
			if wait_for_issuance(A[B],D):A[E]=H;return send(A)
			else:return reinvoke(A,D)
		elif A[G]=='Delete':
			if A[B]!=J:acm.delete_certificate(CertificateArn=A[B])
			A[E]=H;return send(A)
		elif A[G]=='Update':
			if replace_cert(A):
				A[B]=create_cert(C,F);add_tags(A[B],C);validate(A[B],C)
				if not wait_for_issuance(A[B],D):return reinvoke(A,D)
			else:
				if K in A[L]:acm.remove_tags_from_certificate(CertificateArn=A[B],Tags=A[L][K])
				add_tags(A[B],C)
			A[E]=H;return send(A)
		else:raise RuntimeError('Unknown RequestType')
	except Exception as I:l.exception('');A[E]='FAILED';A['Reason']=str(I);return send(A)

Why?

AWS Cloudformation templates may have AWS lambda function source code embedded in them, but only if the function is less than 4KiB. I wrote this package so I could write python normally and still embed the module in a template.

Installation

To install python-minifier use pip:

$ pip install python-minifier

Note that python-minifier depends on the python interpreter for parsing source code, so install using a version of python appropriate for your source.

python-minifier runs with and can minify code written for Python 2.7 and Python 3.3 to 3.10.

Usage

To minify a source file, and write the minified module to stdout:

$ pyminify hello.py

There is also an API. The same example would look like:

import python_minifier

with open('hello.py') as f:
    print(python_minifier.minify(f.read()))

Documentation is available at dflook.github.io/python-minifier/

License

Available under the MIT License. Full text is in the LICENSE file.

Copyright (c) 2020 Daniel Flook