python-minifier 1.1.0

Transform Python source code into it's most compact representation

Python Minifier

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

python-minifier supports Python 2.6 to 2.7 and Python 3.3 to 3.7.

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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:

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

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 2.6 to 2.7 and Python 3.3 to 3.7.

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) 2018 Daniel Flook