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https://github.com/dflook/python-minifier
Transform Python source code into its most compact representation
https://github.com/dflook/python-minifier
hacktoberfest minification minifier minify python python3
Last synced: about 2 months ago
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Transform Python source code into its most compact representation
- Host: GitHub
- URL: https://github.com/dflook/python-minifier
- Owner: dflook
- License: mit
- Created: 2018-06-16T13:53:14.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2024-01-14T04:52:38.000Z (8 months ago)
- Last Synced: 2024-07-31T08:06:46.757Z (about 2 months ago)
- Topics: hacktoberfest, minification, minifier, minify, python, python3
- Language: Python
- Homepage:
- Size: 760 KB
- Stars: 548
- Watchers: 6
- Forks: 39
- Open Issues: 30
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# Python Minifier
Transforms Python source code into its most compact representation.
[Try it out!](https://python-minifier.com)
python-minifier currently supports Python 2.7 and Python 3.3 to 3.11. Previous releases supported Python 2.6.
* [PyPI](https://pypi.org/project/python-minifier/)
* [Documentation](https://dflook.github.io/python-minifier/)
* [Issues](https://github.com/dflook/python-minifier/issues)
As an example, the following python source:
```python
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:
```python
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:
```bash
$ 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 3.11.
## Usage
To minify a source file, and write the minified module to stdout:
```bash
$ pyminify hello.py
```
There is also an API. The same example would look like:
```python
import python_minifier
with open('hello.py') as f:
print(python_minifier.minify(f.read()))
```
Documentation is available at [dflook.github.io/python-minifier/](https://dflook.github.io/python-minifier/)
## License
Available under the MIT License. Full text is in the [LICENSE](LICENSE) file.
Copyright (c) 2020 Daniel Flook